Work with thought leaders and academic experts in Computer Science Applications

Companies can benefit from collaborating with academic researchers in Computer Science Applications in several ways. These researchers have deep knowledge and expertise in areas such as artificial intelligence, data analysis, software development, and more. By working with them, companies can drive innovation, solve complex problems, and stay ahead of the competition. Researchers can provide valuable insights and solutions to optimize business processes, develop cutting-edge technologies, and improve customer experiences. They can also help companies leverage big data and implement machine learning algorithms to gain actionable insights and make data-driven decisions. Additionally, academic researchers can assist in developing secure and robust software systems, ensuring the company's technology infrastructure is efficient and protected.

Researchers on NotedSource with backgrounds in Computer Science Applications include Christos Makridis, Jerry Schnepp, Ph.D., PhD.Heydy Castillejos, IQRAM HUSSAIN, Ph.D., Dr. David Siderovski, Ph.D., Keiran Thompson, Burcu Vitrinel, Ph.D., Aruna Ranaweera, Daniel Milej, Ph.D., Ping Luo, Ajay Badhan, Siddharth Maddali, and Elvira Forte.

Christos Makridis

Nashville, TN
10 Years Experience
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Education

Stanford University

Dual Ph.D., Economics and Management Science & Engineering / June, 2018

Stanford, California, United States of America

Arizona State University

B.S., Economics and Mathematics / May, 2012

Tempe, Arizona, United States of America
Experience

Stanford University

Digital Fellow / August, 2020 — Present

Department of Veterans Affairs

Senior Adviser, National AI Institute / January, 2020 — Present

Columbia Business School

Adjunct Associate Research Scholar / February, 2022 — Present

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (15)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 10 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.
Most Relevant Publications (2+)

25 total publications

Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Computers in Biology and Medicine / Jun 01, 2021

Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354

Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs

BMJ Health & Care Informatics / Jun 01, 2021

Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312

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Jerry Schnepp, Ph.D.

Chicago, Illinois, United States of America
22 Years Experience
Chair of Computer Science, Judson University
Education

Ph.D., Computer Science / June, 2012

Chicago, Illinois, United States of America

M.S., Human-computer Interaction / June, 2002

Chicago, Illinois, United States of America

University of Illinois at Chicago

B.A., Communication / December, 1999

Chicago, Illinois, United States of America
Experience

Judson University

Chair of Computer Science / August, 2022 — Present

Leading the Department of Computer Science with a focus on evolving curricula, growing enrollment, and post-graduate professional preparedness. Coordinating research on AI-supported individualized learning experiences using Retrieval Augmented Generation (RAG). Spearheading professional development activities among faculty members focused on innovative pedagogy through Learner Experience Design (LXD). Teaching courses in Software Design Patterns, Data Structures, Algorithms, Web Development, Database Systems, and a Capstone Senior Project. Serving as Chair of the Undergraduate Academic Policy Committee and the Degree Completion Academic Policy Committee. Supporting student internships and independent studies.

Bowling Green State University

Tenured Associate Professor / May, 2018 — August, 2022

Led a university initiative to build The Collab Lab, an innovation space on the BGSU campus. Sought and received support to initiate the project, oversaw its design and construction, and led its operations as the director. Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Supported twenty-five undergraduate independent study projects and served on graduate committees for two master’s students and four Ph.D. students, one as the primary advisor. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.

Assistant Professor / August, 2012 — 2018

Designed and taught courses in User Experience, Interactive Media, Augmented and Virtual Reality, Interaction Design, Web Development, and Usability. Coordinated research projects investigating novel educational technologies: EASEL (Education through application-supported experiential learning), a mobile platform that facilitates real-time reflection during experiential learning and Point Barter, an online testing system that allows students to equitably trade exam points for hints to a correct answer.

DePaul University

Adjunct Faculty in Computer Science / August, 2002 — 2012

Taught courses in Human-Computer Interaction, Computer Graphics Development, Real-time Rendering, Data Visualization, Computer Animation, Web Design, and Digital Photography.

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (18)
Human Computer Interaction
User Experience
Interactive Media
Computer Graphics
Accommodations for the Deaf
And 13 more
About
As a technologist, designer, and creative problem-solver, I'm passionate about teaching people to embrace new technology and explore. I am the Chair of the Computer Science department at Judson University. Before my appointment, I served as an Associate Professor in the College of Technology, Architecture and Applied Engineering at Bowling Green State University (BGSU). I teach courses in Programming, Data Structures and Algorithms, Software Design Patterns, Interactive Media, Usability, User Experience, and Augmented/Virtual Reality. I was the founding director of the Collab Lab, a hands-on, creative space for students and faculty to engage in collaborative work. My research efforts are directed in several areas: AI Supported Individualized Learning, Learner Experience Design, Technology for Online Assessment, Interactive Mobile Learning, and Computerized Sign Language Synthesis. I enjoy collaborating on projects involving cutting-edge technology and new applications.

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PhD.Heydy Castillejos

Weston, Florida, United States of America
10 Years Experience
Research professor, Universidad Autónoma del Estado de Hidalgo
Education

Instituto Politécnico Nacional

PhD, ESIME-CU / June, 2013

Mexico

Instituto Politécnico Nacional

MASTER IN SCIENCES, EIME-CU / July, 2009

Mexico

Universidad Autonoma del estado de Hidalgo

Bachelor, ICBI / December, 2006

MINERAL DE LA REFORMA
Experience

Universidad Autónoma del Estado de Hidalgo

Reasearch-Profesor / February, 2014 — June, 2023

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (10)
Image and signal processing
boimedical signals
segmentation
classification
CAD
And 5 more
About
Results-oriented professional with over 15 years of experience in research and teaching. Skilled in Python, MATLAB programming, image processing, and telecommunications. Demonstrated ability to work under pressure, manage time effectively, and solve complex problems. Successfully advised doctoral candidates on data analysis methods, authored multiple peer-reviewed journal articles, and secured funding for future research initiatives. Developed innovative curricula for advanced mathematics courses and utilized technology to enhance learning experiences. A fast learner with excellent written and verbal communication skills.
Most Relevant Publications (2+)

15 total publications

Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen

Applied Sciences / Sep 12, 2020

López-Ortega, O., Pérez-Cortés, O., Castillejos-Fernández, H., Castro-Espinoza, F.-A., & González-Mendoza, M. (2020). Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen. Applied Sciences, 10(18), 6354. https://doi.org/10.3390/app10186354

Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics

Applied Sciences / Oct 11, 2022

Gonzalez-Islas, J.-C., Dominguez-Ramirez, O.-A., Lopez-Ortega, O., Peña-Ramirez, J., Ordaz-Oliver, J.-P., & Marroquin-Gutierrez, F. (2022). Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics. Applied Sciences, 12(20), 10197. https://doi.org/10.3390/app122010197

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IQRAM HUSSAIN, Ph.D.

New York City, New York, United States of America
7 Years Experience
Weill Cornell Medicine, Cornell University, NY, USA
Education

Korea University of Science and Technology

Doctor of Philosophy, Medical Physics / February, 2022

Daejeon

Khulna University of Engineering and Technology

Bachelor of Science, Mechanical Engineering / April, 2007

Khulna
Experience

Weill Cornell Medicine

Postdoctoral Associate / March, 2023 — Present

Seoul National University

Postdoctoral Fellow / March, 2022 — February, 2023

Korea Research Institute of Standards and Science

PhD Researcher / September, 2017 — February, 2022

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (32)
Biomedical & Medical Physics
AI (Machine & Deep Learning)
Anesthesiology
Sleep Medicine
Human Gait & brain
And 27 more
About
Iqram Hussain works at the Department of Anesthesiology, Weill Cornell Medicine, Cornell University, NY, USA. Earlier, he was a postdoctoral researcher at the Medical Research Center, Department of Biomedical Engineering, Seoul National University. He pursued a Ph.D. degree in Medical Physics from the University of Science and Technology (UST), South Korea. He worked as a Research Associate with the Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea. He worked on the Knowledgebase Super Brain (KSB) project at the Electronics and Telecommunication Research Institute (ETRI), Daejeon. He received a B.Sc. degree in mechanical engineering from the Khulna University of Engineering & Technology, Bangladesh, in 2007. He has ten years of work experience in power plant operation and maintenance and power plant project management. His research interests include wearable sleep monitoring, neuroscience, medical physics, human factors, and ergonomics. He has experience in healthcare research, project management, power plant operation, and maintenance. He is a reviewer in IEEE Access, Sensors, Applied Sciences, Biomedical Signal Processing and Control, IEEE Transactions, Science of the Total Environment, Neuroscience Informatics, Brain Sciences, etc. He is a guest editor in special issues of several Journals. Website: https://sites.google.com/view/iqram/home
Most Relevant Publications (2+)

43 total publications

Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents

World Patent Information / Sep 01, 2019

Wittfoth, S. (2019). Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents. World Patent Information, 58, 101906. https://doi.org/10.1016/j.wpi.2019.101906

Tracking Trajectory Planning of Space Manipulator for Capturing Operation

International Journal of Advanced Robotic Systems / Sep 01, 2006

Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735

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Dr. David Siderovski, Ph.D.

Fort Worth
25 Years Experience
Professor of Computational Pharmacology; Chair of HSC SBS Dept. of Pharmacology & Neuroscience
Education

University of Toronto

Ph.D., Medical Biophysics / November, 1997

Toronto, Ontario, Canada
Experience

University of North Carolina at Chapel Hill

Professor / January, 1999 — June, 2012

West Virginia University School of Medicine

E.J. Van Liere Endowed Medicine Professor and Chairman / July, 2012 — February, 2020

Chair of the Dept. of Physiology and Pharmacology

University of North Texas Health Science Center

Professor & Chair / March, 2020 — Present

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (25)
Regulator of G protein Signaling (RGS) proteins
Pharmacology
Molecular Biology
Cellular and Molecular Neuroscience
Molecular Medicine
And 20 more
About
Dr. David Siderovski is a renowned scientist and academic, with a career spanning over two decades. He received his Ph.D. in Medical Biophysics from the University of Toronto in 1997, where he specialized in signal transduction and cellular signaling pathways. After completing his doctorate, Dr. Siderovski held various faculty positions at prestigious universities, including the University of North Carolina at Chapel Hill, West Virginia University School of Medicine, and the University of North Texas Health Science Center. At these institutions, Dr. Siderovski has made significant contributions to the field of pharmacology through his research on G protein-coupled receptors (GPCRs) and RGS proteins, which are key regulators of GPCR cellular signaling. His work has helped to advance the understanding of RGS proteins and their roles in various diseases, including cancer, cardiovascular disorders, and neurological disorders. In addition to his research, Dr. Siderovski is also a dedicated educator and mentor. He has taught and mentored numerous undergraduate, graduate, and medical students, and has served as a mentor for postdoctoral fellows and junior faculty members. He is known for his passion and enthusiasm for science and his ability to inspire and guide the next generation of scientists. Dr. Siderovski has received numerous awards and honors for his contributions to the scientific community. He was the recipient of the Abel Award in 2004 from the American Society of Pharmacology & Experimental Therapeutics for his pioneering discoveries of the RGS proteins and the GoLoco motif. He has also served on editorial boards of several scientific journals (including a decade at *J.Biol.Chem.*) and has been a member of various scientific committees, NIH study section panels, and pharma/biotech advisory boards, including for Inspire, Wyeth, and BellBrook Labs. Overall, Dr. David Siderovski is a highly accomplished and respected scientist and educator, whose research has had a significant impact on the field of pharmacology. His dedication and passion for science continue to inspire and influence the next generation of researchers in this field.
Most Relevant Publications (3+)

94 total publications

Established and Emerging Fluorescence-Based Assays for G-Protein Function: Ras-Superfamily GTPases

Combinatorial Chemistry & High Throughput Screening / Jun 01, 2003

Rojas, R., Kimple, R., Rossman, K., Siderovski, D., & Sondek, J. (2003). Established and Emerging Fluorescence-Based Assays for G-Protein Function: Ras-Superfamily GTPases. Combinatorial Chemistry & High Throughput Screening, 6(4), 409–418. https://doi.org/10.2174/138620703106298509

Established and Emerging Fluorescence-Based Assays for G-Protein Function: Heterotrimeric G-Protein Alpha Subunits and Regulator of G-Protein Signaling (RGS) Proteins

Combinatorial Chemistry & High Throughput Screening / Jun 01, 2003

Kimple, R., Jones, M., Shutes, A., Yerxa, B., Siderovski, D., & Willard, F. (2003). Established and Emerging Fluorescence-Based Assays for G-Protein Function: Heterotrimeric G-Protein Alpha Subunits and Regulator of G-Protein Signaling (RGS) Proteins. Combinatorial Chemistry & High Throughput Screening, 6(4), 399–407. https://doi.org/10.2174/138620703106298491

A High Throughput Fluorescence Polarization Assay for Inhibitors of the GoLoco Motif/G-alpha Interaction

Combinatorial Chemistry & High Throughput Screening / Jun 01, 2008

Kimple, A., Yasgar, A., Hughes, M., Jadhav, A., Willard, F., Muller, R., Austin, C., Inglese, J., Ibeanu, G., Siderovski, D., & Simeonov, A. (2008). A High Throughput Fluorescence Polarization Assay for Inhibitors of the GoLoco Motif/G-alpha Interaction. Combinatorial Chemistry & High Throughput Screening, 11(5), 396–409. https://doi.org/10.2174/138620708784534770

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Keiran Thompson

Palo Alto, California, United States of America
10 Years Experience
Stanford University
Education

Australian National University

PhD, Physical Chemistry / 1999

Canberra, Australian Capital Territory, Australia

University of Illinois Urbana-Champaign

Postdoc / 1999

Urbana, Illinois, United States of America
Experience

Stanford University

Research Fellow / 2016 — Present

Snowball Trading

Head of Research / 2014 — 2016

Robo-Advisor startup applying machine learning and the latest finance research to produce dramatically more profitable portfolios for ordinary investors.

Datagmi

Chief Scientist / 2013 — 2016

Datagami is a machine learning startup, bringing insights about your data to you, in terms you already understand. Under the hood it's cutting edge algorithms and cloud services. At the front end, a disarmingly simple interface you likely already use.

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (5)
Physical and Theoretical Chemistry
Colloid and Surface Chemistry
Biochemistry
Catalysis
Library and Information Sciences
About
Keiran Thompson is a machine learning and quantum chemistry researcher. Originally from Australia, he currently works as an AI research scientist at Stanford University where he transfers machine learning knowledge from the private sector to academic research which can then be reconverted back to private sector usage. He is experienced with large scale numerical computing and has led several startups as Chief Scientist.
Most Relevant Publications (2+)

29 total publications

Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units

Journal of Chemical Theory and Computation / Jan 18, 2018

Parrish, R. M., Thompson, K. C., & Martínez, T. J. (2018). Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units. Journal of Chemical Theory and Computation, 14(3), 1737–1753. https://doi.org/10.1021/acs.jctc.7b01053

TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations

Journal of Chemical Information and Modeling / Apr 08, 2020

Seritan, S., Thompson, K., & Martínez, T. J. (2020). TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations. Journal of Chemical Information and Modeling, 60(4), 2126–2137. https://doi.org/10.1021/acs.jcim.9b01152

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Burcu Vitrinel, Ph.D.

San Francisco
11 Years Experience
Cross-functional life sciences strategy professional with a Ph.D. in genetics
Education

New York University

Ph.D., Developmental Genetics / May, 2021

New York, New York, United States of America

M.Sc., Molecular Medicine / September, 2015

Berlin

Sabancı University

B.Sc., Bioengineering / May, 2013

Istanbul
Experience

Putnam Associates

Life Sciences Consultant / July, 2021 — November, 2023

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (15)
Molecular Biology
Biochemistry
Cell Biology
Aging
Virology
And 10 more
About
Cross-functional life sciences **strategy** professional with a doctoral degree in **genetics**; worked on 16+ projects in collaboration with 7+ big pharma clients as the lead consultant in a **client-facing** role. Exceptional understanding of current life sciences **market trends**. Scientist with 10+ years of wet-lab with hands-on **CRISPR-Cas9 gene** **editing and tandem mass-spectrometry** experience with 3 first-author papers. Experienced primary market researcher for pharmaceutical companies. Award-winning science communicator for a wide range of audiences tailored to different internal and external stakeholders.
Most Relevant Publications (1+)

10 total publications

Ring Finger 149-Related Is an FGF/MAPK-Independent Regulator of Pharyngeal Muscle Fate Specification

International Journal of Molecular Sciences / May 16, 2023

Vitrinel, B., Vogel, C., & Christiaen, L. (2023). Ring Finger 149-Related Is an FGF/MAPK-Independent Regulator of Pharyngeal Muscle Fate Specification. International Journal of Molecular Sciences, 24(10), 8865. https://doi.org/10.3390/ijms24108865

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Aruna Ranaweera

Colombo
18 Years Experience
Professor at University of Kelaniya, PhD(Kyung Hee University, South Korea)
Education

Kyung Hee University - Global Campus

Doctor of Philosophy, Department of Electronics and Radio Engineering / February, 2017

Yongin

University of Kelaniya Faculty of Science

B.Sc., Department of Physics / March, 2006

Kelaniya
Experience

University of Kelaniya Faculty of Science

Professor / November, 2021 — Present

Lecturer / July, 2008 — Present

Assistant Lecturer / June, 2006 — February, 2008

Wayamba University of Sri Lanka

Lecturer / February, 2008 — June, 2008

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (16)
Wireless Power Transfer
Metamaterials
Supercapacitor Assisted Power Electronics
Electronic, Optical and Magnetic Materials
Surfaces, Coatings and Films
And 11 more
About
I am dedicated and passionate about inspiring and engaging my students in an effective learning process to generate new knowledge, do innovations, engage in technology transfer, and enhance human capital through interdisciplinary and collaborative research for the well-being of academia, industry, and society.
Most Relevant Publications (1+)

30 total publications

Commemorative Issue of Defence Science Journal on Golden Jubilee of DRDO

Defence Science Journal / Mar 25, 2010

Moorthy, A. (2010). Commemorative Issue of Defence Science Journal on Golden Jubilee of DRDO. Defence Science Journal, 60(2), 121–123. https://doi.org/10.14429/dsj.60.345

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Daniel Milej, Ph.D.

London, Ontario, Canada
15 Years Experience
Ph.D. in biomedical engineering
Education

Western University

Post-doctorate fellowship, Department of Medical Biophysics / June, 2019

London

Polish Academy of Science

PhD, Nalecz Institute of Biocybernetics and Biomedical Engineering / June, 2014

Warsaw

Military Univeristy of Technology

MSc, Department of Electronics / June, 2008

Warsaw
Experience

Lawson Research Institute

Research Associate / July, 2019 — July, 2025

Scientist / August, 2024 — Present

Western University

Postdoctoral fellow / September, 2014 — June, 2019

Assistant Professor / September, 2024 — Present

Polish Academy of Science

Researcher/PhD Student / June, 2008 — September, 2014

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (31)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 26 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is a Scientist at the Lawson Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously, he was a Postdoctoral Fellow and Research Associate working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a Researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Biocybernetics and Biomedical Engineering. He received his MSc in Electronics/Optoelectronics from the Military University of Technology, Warsaw, Poland, in 2008.
Most Relevant Publications (1+)

91 total publications

Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method

Computer Methods and Programs in Biomedicine / Jan 01, 2020

Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084

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Ping Luo

Toronto, Ontario, Canada
8 Years Experience
Assistant Professor at Algoma University
Education

University of Saskatchewan

Ph.D., Biomedical Engineering / September, 2019

Saskatoon, Saskatchewan, Canada

Beijing Institute of Technology

M.Eng., Biomedical Engineering / June, 2015

Beijing

Hunan University

B.Eng., Computer Science / June, 2010

Changsha
Experience

Princess Margaret Cancer Centre

Postdoctoral Researcher / November, 2019 — Present

I work in Dr. Trevor Pugh's lab and design cancer diagnosis and treatment strategies by analyze cell-free DNA and single cell sequencing data

Princess Margaret Cancer Centre

Bioinformatics Specialist / September, 2023 — Present

I work in Dr. Tak Mak's lab and study tumor immunology using single cell and TCR sequencing data.

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (5+)

23 total publications

Enhancing the prediction of disease–gene associations with multimodal deep learning

Bioinformatics / Mar 02, 2019

Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155

CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization

Neurocomputing / Jan 01, 2018

Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039

Identifying cell types from single-cell data based on similarities and dissimilarities between cells

BMC Bioinformatics / May 01, 2021

Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z

Ensemble disease gene prediction by clinical sample-based networks

BMC Bioinformatics / Mar 01, 2020

Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8

Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Computational and Structural Biotechnology Journal / Jan 01, 2022

Mahalanabis, A., Turinsky, A. L., Husić, M., Christensen, E., Luo, P., Naidas, A., Brudno, M., Pugh, T., Ramani, A. K., & Shooshtari, P. (2022). Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. Computational and Structural Biotechnology Journal, 20, 6375–6387. https://doi.org/10.1016/j.csbj.2022.10.029

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Ajay Badhan

Lethbridge, Alberta, Canada
15 Years Experience
Research Biologist, Lethbridge Research Center, Canada
Education

Ph.D., Microbiology

Experience

Agriculture Agri-food Canada

Biologist / May, 2015 — Present

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (26)
Animal nutrition
cell wall biosynthesis and its deconstruction
biofuels
Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
And 21 more
About
I am a proficient researcher with valuable research and teaching experience acquired at distinguished institutes like Complex Carbohydrate Research Center, US, University of Alberta, Canada, and Lethbridge Research Center (AAFC), Canada. I have been working for past 15 years on multiple projects focused on the economical, environmental and social sustainability of agricultural production. Improvement in livestock performance, productivity, and health by unlocking the microbiome, development of clean technologies, improving agriculture environmental performance, and Increase agro-ecosystem resilience are prime objectives for my research.
Most Relevant Publications (1+)

29 total publications

Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses

Computational and Structural Biotechnology Journal / Jan 01, 2022

Badhan, A., Low, K. E., Jones, D. R., Xing, X., Milani, M. R. M., Polo, R. O., Klassen, L., Venketachalam, S., Hahn, M. G., Abbott, D. W., & McAllister, T. A. (2022). Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses. Computational and Structural Biotechnology Journal, 20, 148–164. https://doi.org/10.1016/j.csbj.2021.12.009

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Siddharth Maddali

Fremont, California, United States of America
8 Years Experience
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Education

Carnegie Mellon University

PhD, Physics / May, 2016

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Physics / May, 2011

Pittsburgh, Pennsylvania, United States of America

Indian Institute of Technology Madras

M.Sc, Physics / May, 2009

Chennai
Experience

KLA (United States)

Research Scientist / November, 2022 — Present

Sensitivity enhancement of optical inspection of semiconductor wafers

Argonne National Laboratory

Staff Scientist / October, 2019 — September, 2022

(1) Imaging: Inverse problems for 3D nanoscale materials imaging using coherent X-ray probes. (2) Time-resolved studies: Signal processing methods for XPCS at free electron laser facilities. (3) Experiments: POCs & demonstrations for the above at APS/future APS-U instruments. (4) Fundraising: Research grants (LDRD, DoE), APS, ESRF user-time proposals. (5) Dissemination/Outreach: Publications, peer review, editorship, conferences, tech reports. (6) Mentoring/Organization: Postdocs, students (unofficial), workshop planning/chairing.

Post-doctoral researcher / January, 2017 — September, 2019

National Energy Technology Laboratory

Postdoctoral Fellow / May, 2016 — November, 2016

Machine learning -driven materials discovery of steel alloys for optimized power plant components

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (21)
Computational microscopy
Fourier/physical optics
signal processing
physics
HPC
And 16 more
About
Computational materials, imaging and microscopy scientist with **8 years combined experience** in industry and national laboratories. Expert in physics-based imaging and characterization with X-rays and optical probes, high-performance computing for light-matter interaction and materials data analysis. Experienced in machine learning for materials discovery. Previous experience at the National Energy Technology Laboratory, Argonne National Laboratory and KLA Corporation. <br>
Most Relevant Publications (1+)

29 total publications

Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization

npj Computational Materials / May 23, 2023

Maddali, S., Frazer, T. D., Delegan, N., Harmon, K. J., Sullivan, S. E., Allain, M., Cha, W., Dibos, A., Poudyal, I., Kandel, S., Nashed, Y. S. G., Heremans, F. J., You, H., Cao, Y., & Hruszkewycz, S. O. (2023). Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization. Npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-023-01022-7

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Elvira Forte

New York, New York, United States of America
15 Years Experience
Scientific strategist • Senior Scientist • Senior Scientific Editor
Education

Sapienza University of Rome

PhD, Pasteurian Sciences / January, 2011

Rome

Sapienza University of Rome

Master, Medical, Molecular and Cellular Biotechnology / October, 2006

Rome

Sapienza University of Rome

Bachelor, Biotechnology / October, 2004

Rome
Experience

Springer Nature

Associate/Senior Editor / June, 2021 — February, 2024

Helped shape and launch a new journal, Nature Cardiovascular Research, which publishes exceptional advances in the fields of cardiac, vascular, and blood biology, covering fundamental, translational, clinical, and public health research. • Assessed the novelty and impact of manuscripts within all the topics covered by the journal and chaperoned the whole revision process until acceptance for over 40% of all the content published by the journal since its start, with optimal processing times and excellent feedback from the authors. • Interfaced with scientists around the World, provided scientific guidance on how to improve manuscripts, or recommended more appropriate journals to publish with. Commissioned Comments, Reviews, News and Views on current topics, and summarized novel scientific findings in meaningful snippets and Research Highlights. • Contributed to the training and supervision of 2 Associate Editors; covered the Chief Editor's functions when needed.

Research Fellow/Associate Research Scientist / January, 2017 — June, 2021

• Analyzed the dynamic cellular changes during the fibrotic repair post-myocardial infarction, using cutting-edge techniques such as single-cell RNAseq with 10xChromium. Learned how to perform myocardial infarction in mice and assess the cardiac function via echography; analyze scRNAseq data using the Seurat package on R studio. • Completed a project aimed to characterize similarities and differences among fibroblasts from different organs cultured in the same conditions. Through cytometric, transcriptomic analysis, functional assays, shRNA and CRISPR-Cas9-mediated in vitro gene knockdowns we showed that fibroblasts isolated from different organs retain the expression of key transcription factors reflecting their embryological origin. • Collaborated with other laboratories in the Institute to design new mice models that could possibly recapitulate the symptoms of COVID-19; to analyze the response of mice with diverse genetic backgrounds to stressors.

Post-doctoral fellow/ Co-joint lecturer / May, 2013 — November, 2016

Developed projects aimed at understanding the embryological origin and function of a population of putative progenitor cells, cardiac colony forming unit fibroblasts cCFU-F, identified 2 years before in the lab (PMID: 22136928). • Performed cell lineage tracing and designed in vitro and in vivo cellular assays to assess the functional and immunomodulatory properties of PDGFRa+ fibroblasts in homeostasis and post-myocardial infarction with or without treatment with the PDGF-AB ligands. The data, presented in 3 international conferences and included in a preprint manuscript, have supported the use of a short-term treatment with PDGF-AB in a preclinical model of acute myocardial infarction in pigs. • Co-supervised 2 Ph.D. students at University of New South Wales

Scientific Editor / March, 2024 — Present

Consultant freelancer position within a team of former journal editors and grants specialists • Helped scientists increase the impact of their science by providing advice, in-depth editing, and feedback on manuscripts.

Most Relevant Research Expertise
Computer Science Applications
Other Research Expertise (26)
fibrosis
inflammation
cardiomyopathies
Physiology
Cardiology and Cardiovascular Medicine
And 21 more
About
Motivated and growth-driven biomedical scientist with over 15 years of experience in the cardiovascular field. Strong background in cell and molecular biology, data analysis, and interpretation. Seeking #newopportunities to deliver value as a Senior Scientist, Associate Principal Scientist, Scientific Liaison, or Scientific Consultant within a company that combines new technologies such as single-cell omics and AI for drug discovery and personalized medicine. <br> Throughout my career, I've used various in vivo and in vitro models to investigate the molecular and cellular mechanisms of fibrosis and inflammation in the heart, and how these mechanisms are affected in mice with different genetic backgrounds. My experience includes project management and mentoring. I completed three projects involving international collaborations, supervised two junior researchers, and taught cellular and molecular techniques to at least six professionals. As one of the launching editors and senior editor at Nature Cardiovascular Research, I oversaw the quality of the content published in the journal and the editorial process. I collaborated with authors, reviewers, and editors to ensure the highest standards of scientific rigor, relevance, and innovation. I also contributed to the journal's vision, strategy, and outreach, promoting the latest advances and discoveries in the cardiovascular and hematology fields. This experience has sharpened my analytical and communication skills and broadened my understanding of the field, covering a wide range of studies, from basic research to clinical, epidemiological, and public health research. My mission is to advance the knowledge and practice of cardiovascular medicine and to bridge the gap between research and clinical applications. Keywords: cardiovascular, #fibrosis, inflammation, cardioimmunology, RNA, single-cell biology, #transcriptomics, imaging, animal models, small animal surgery, and scientific writing.
Most Relevant Publications (1+)

63 total publications

Ex uno, plures–From One Tissue to Many Cells: A Review of Single-Cell Transcriptomics in Cardiovascular Biology

International Journal of Molecular Sciences / Feb 19, 2021

Forte, E., McLellan, M. A., Skelly, D. A., & Rosenthal, N. A. (2021). Ex uno, plures–From One Tissue to Many Cells: A Review of Single-Cell Transcriptomics in Cardiovascular Biology. International Journal of Molecular Sciences, 22(4), 2071. https://doi.org/10.3390/ijms22042071

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Example Computer Science Applications projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computer Science Applications?

Optimizing Supply Chain Management

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Enhancing Cybersecurity Measures

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Optimizing Data Analysis and Visualization

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