Work with thought leaders and academic experts from Georgia Institute of Technology

Dr. Michael W. Craige, PhD, MBA

New York
18 Years Experience
Entrepreneurial Scientist | Research Technology, Informatics & Data Science
Education

Georgia Tech

MBA, Business Administration and Management

Atlanta, Georgia, United States of America
Research Expertise
Biomedical Informatics
Computational Biology
Neuroinformatics
Bioinformatics
Cancer Research
And 1 more
About
Dr. Michael W. Craige is a research scientist and fellow, leveraging his expertise in biomedical informatics, data science, intellectual property law, and innovation strategy to assess patent, and license new inventions and technologies reported by scientists. He has contributed to publications in high-impact journals, such as Nature Communications and Frontiers in Oncology, and has helped several startups secure their first institutional venture capital funding. His professional journey encompasses a rich blend of roles, including an NSF I-Corps Startup Mentor at Rutgers Office of Innovation Ventures, his recent tenure as a Venture Capital Fellow at SOSV's IndieBio in New York, and training in intellectual property law as a patent agent at Casimir Jones Law Firm. Dr. Craige received his MBA from The Georgia Institute of Technology and his PhD in Biomedical Informatics at Rutgers University where he’s developing computational methods for high-throughput cancer genomic data analysis, including statistical models for elucidating the mechanisms of prostate cancer disease progression and therapeutic response. During his doctoral program, he focused his research on pediatric neurology to understand the underline molecular mechanism of epilepsy in infants, jointly at Emory and Rutgers University. Dr. Craige was the managing director and ex-founder at CiDrep Informatics, a health and scientific-informatics consulting firm, that operated across the US and Canada.

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Jayashree Kalyanaraman

Clinton, New Jersey, United States of America
17 Years Experience
Decarbonization expert with more than 10 years of experience
Education

Georgia Institute of Technology

PhD, Chemical Engineering / May, 2017

Atlanta, Georgia, United States of America
Experience

Georgia Institute of technology

Post Doctoral Fellow / June, 2017September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Georgia Institute of technology

Post Doctoral Fellow / June, 2017September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Research Expertise
Decarbonization
Process Modeling
Adsorption based CO2 removal processes
Mass Transfer Modeling
Kinetic Modeling
And 14 more
About
A seasoned Decarbonization Researcher with over 13 years of expertise in cutting-edge decarbonization technologies and strategies. Proven track record in post-combustion carbon capture, direct air capture, and blue hydrogen generation. Specialized in low-energy hydrocarbon separation using advanced liquid adsorption techniques and membrane reactor-based methane reforming. Highly proficient in computational tools like Python (parallel computing) and MATLAB, with extensive experience in process modeling software such as gPROMS, Aspen Plus, and CFD tools like Ansys Fluent. Adept at emissions classification, Life Cycle Assessments, and driving sustainability through innovative, scalable solutions in energy and resource management.

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Sheila Monfared, Ph.D.

5 Years Experience
Specialist in Psychology, Human Factors, and Social Engineering: Delivering Impactful Research Solutions in academia and Industry
Education

Georgia Institute of Technology

Postdoctoral, Human Factors / August, 2020

Atlanta, Georgia, United States of America
Experience

Georgia Institute of Technology

Researcher and Research Manager / January, 2019August, 2020

● Built and managed a research program called Vertically Integrated Projects (VIP), for the School of Psychology, enabling hands-on research opportunities for engineering and IT students across the campus. ● Managed and formed a team of 14 cross-functional engineering students out of 19 applicants. ● Secured $100K funding to equip the lab with hardware and software needed for the projects, successfully negotiated with vendors and facilitated training for team members. ● Streamlined operations via the development of 5 SOPs and workflows for standardized procedures. ● Established daily and bi-weekly meetings to facilitate feedback and ensure timely completion of milestones. ● Managed risks by overseeing product validation through 3 Agile sprints, ensuring both safety and efficiency. ● Demonstrated expertise in change management by developing a strategy for maintaining continuity and adhering to deadlines regardless of COVID-19 restrictions and challenges.

Research Expertise
Orthopedics and Sports Medicine
Nephrology
Physical Therapy, Sports Therapy and Rehabilitation
Applied Psychology
Experimental and Cognitive Psychology
And 8 more
About
Sheila Monfared, Ph.D. is a seasoned researcher and consultant with specialized expertise in human factors and sports psychology. Her advanced degrees in Sports Psychology from Florida State University and Human Factors from Georgia Institute of Technology equip her with a unique skill set that bridges the gap between technology and human performance. Sheila's Master of Science in Kinesiology from Tehran University further complements her holistic approach to enhancing performance and mental health. In her professional career, Sheila has excelled in roles such as Strategic Planning Consultant at Saddleback College and Research Scientist at Innisghtful, focusing on research and interface design. Her extensive research experience in cognitive ergonomics and human-computer interaction allows her to provide tailored solutions to individuals and organizations. Sheila's passion lies in using her diverse knowledge to drive success and innovation. Whether optimizing sports performance or enhancing user experience, she is dedicated to helping clients reach their full potential.

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Dr. Tushar Krishna

12 Years Experience
Associate Professor, Georgia Institute of Technology. Expert in AI Hardware and distributed AI systems, interconnection networks, and computer architecture.
Experience

Georgia Institute of Technology

Associate Professor (with tenure) / August, 2015Present

Research Expertise
Computer Architecture
Interconnection Networks
Network-on-Chip
Deep Learning Accelerators
About
Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology, with a courtesy appointment in Computer Science. He held the ON Semiconductor (Endowed) Junior Professorship in ECE at Georgia Tech from 2019-2021. He has also been a visiting professor at MIT EECS + CSAIL, Harvard University CS and a researcher at Intel’s VSSAD group. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007).   Dr. Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC), and AI/ML accelerator systems – with a focus on optimizing data movement in modern computing platforms. His research is funded via multiple awards from NSF, DARPA, IARPA, SRC (including JUMP2.0), Department of Energy, Intel, Google, Meta/Facebook, Qualcomm and TSMC. His papers have been cited over 18,000 times. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and four have won best paper awards.   Dr. Krishna was inducted into the HPCA Hall of Fame in 2022. At Georgia Tech, he has been honored by the “Class of 1940 Course Survey Teaching Effectiveness Award” in 2018, the “Roger P. Webb Outstanding Junior Faculty Award” from the School of ECE in 2021, the “Richard M. Bass/Eta Kappa Nu Outstanding Junior Teacher Award” in 2023, and the “Roger P. Webb Outstanding Mid-career Faculty Award” from the School of ECE in 2024.   Dr. Krishna currently serves as an Associate Director for the Center for Research into Novel Computing Hierarchies (CRNCH) – a cross-disciplinary research center at Georgia Tech. He is also a co-chair of the Chakra Execution Traces and Benchmarks Working group within ML Commons.

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Steve Isley

14 Years Experience
Ph.D. trained research scientist with deep expertise in sustainable consumption and applied generative AI
Education

Georgia Institute of Technology

MS, Aerospace Engineering / June, 2010

Atlanta, Georgia, United States of America
Research Expertise
Management, Monitoring, Policy and Law
Building and Construction
Mechanical Engineering
Global and Planetary Change
Geography, Planning and Development
And 9 more
About
My career has been about solving hard problems in ambiguous spaces. I’m passionate about sustainability and the societal consequences of new technologies. I have a multi-disciplinary background including startup entrepreneurship, software development, deep subject matter expertise in sustainable consumption, a PhD in policy analysis, and an MS & BS in aerospace engineering. <br> I love exploring new technologies. For the last year, I’ve been using generative AI to build CountOn - an entirely new type of shopping experience where we use LLMs to summarize the knowledge of trusted experts in order to help people make better purchase decisions. Prior to CountOn, I spent five years at Amazon where I led sustainable customer research and helped launch The Climate Pledge (Amazon's commitment to be net zero carbon by 2040). Before that, I was a scientist at the National Renewable Energy Laboratory where I did some of the earliest research in augmented reality shopping tools, smart transportation, and home energy management systems.

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Dr. Mario Caicedo

31 Years Experience
Full Professor of Physics (Retired) at Universidad Simón Bolivar with publications in high energy theoretical physics, complex systems, and educaation
Experience

Georgia Institute of technology

Invited Scientist / September, 2009September, 2010

Research Expertise
Exploration Geophysics
Theoretical High energy physics
differential geometry and lie groups
quantum groups
complex systems
And 11 more
About
Dr. Mario Caicedo is a highly accomplished physicist with over 30 years of experience in the field. He earned his PhD in Physics from Universidad Simón Bolívar and his Licenciado (bachelor) in Physics from the same university in 1985. After completing his education, he went on to become a full professor of physics at his alma mater, where he taught and conducted research for many years. Dr. Caicedo's expertise lies in theoretical and computational physics, with a focus on condensed matter and statistical mechanics. His research has been published in numerous prestigious scientific journals, and he has presented his work at conferences and seminars around the world. In addition to his work at Universidad Simón Bolívar, Dr. Caicedo has also held positions as an invited scientist at top institutions such as the Massachusetts Institute of Technology and the Georgia Institute of Technology. He has collaborated with leading researchers in the field and has been recognized for his contributions to the scientific community. Despite his retirement from teaching, Dr. Caicedo continues to be actively involved in research and is a sought-after mentor and consultant for students and fellow scientists. He is known for his passion for physics and his dedication to advancing the field through his work.

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Mehmet Gumus, Ph.D.

7 Years Experience
Assistant Professor of Mathematics with publications on AI applications
Education

Georgia Institute of Technology

M.S., Data analytics / August, 2023

Atlanta, Georgia, United States of America
About
Dr. Mehmet Gumus is a highly educated and experienced mathematician with a passion for teaching and research. He received his Ph.D. in Mathematics from Southern Illinois University in 2017, where he focused on matrix computations and linear algebra. During his Ph.D. studies, he also worked as a teaching assistant and gained valuable experience in teaching mathematics. After completing his Ph.D., Dr. Gumus joined Auburn University as a Visiting Assistant Professor, where he taught various undergraduate and graduate courses in mathematics. He then moved on to become an Assistant Professor of Mathematics at the University of Nevada, Reno, where he continued his research and teaching career. In addition to his mathematical expertise, Dr. Gumus also has a strong background in data analytics. He received his M.S. in Data Analytics from the Georgia Institute of Technology in 2023. This knowledge and experience in both mathematics and data analytics allow him to approach problems from different perspectives and provide unique solutions. Dr. Gumus has a passion for sharing his knowledge and expertise with others. He has published several articles in prestigious mathematics journals and has presented his research at numerous conferences. He also actively participates in workshops and seminars to stay updated on the latest advancements in his field. In his free time, Dr. Gumus enjoys reading and spending time with his family. He also enjoys hiking and playing soccer, which he believes helps him stay physically and mentally fit. With his strong academic background and dedication to teaching and research, Dr. Gumus is a valuable asset to any institution.

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Taylor Gibbs

9 Years Experience
Education

Georgia Institute of Technology

MCP, City & Regional Planning, Transportation / May, 2019

Atlanta, Georgia, United States of America
Experience

Georgia Institute of Technology

Graduate Research Assistant / August, 2017May, 2019

Urban Transportation Information Lab: spatial data lead & mentor for this lab; managed geospatial databases and data collection. • Center for Spatial Planning Analytics & Visualization: conducted land development suitability analysis for Atlanta 3D Digital Model. Managed geospatial databases and data collection. • Developed automated GIS ETL pipelines using Python, SQL, ArcGIS Pro & Model Builder • Conducted economic development research, spatial analysis, and predictive modeling. • Co-authored data science technique paper and presented research at major industry conferences. • Data integration, Database Management, Reporting, Mapping. SQL Server, PostgreSQL. QA/QC. • Regression analysis, decision trees, time series analysis, principal component analysis

About
Innovator & Data Storyteller with 10+ years in data, serving both public and private sectors. Taylor has cultivated a deep expertise and a unique perspective when it comes to data; from her roles in: \*Government Analytics \*Research & Development \*Corporate Data Engineering & Decision Science …to her current role as a Data Science Consultant, her journey has been fueled by curiosity for the world around us and empowering others to succeed. Taylor is a Trusted Tech Thought Leader across public and private sectors. Colleagues look to her for: • Risk Management Strategy •"Problems are Opportunities" aka Growth Mindset • Geographic Knowledge Advising

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Ralph Blanes

6 Years Experience
AI Architect | Founder @ Synthhaven | Ex Google Brain | LLM and Diffusion Models Expert
Education

Georgia Institute of Technology

Bachelor of Science / May, 2018

Atlanta, Georgia, United States of America
About
I'm an AI Architect and Researcher with a relentless pursuit of innovation. In Google Research, I've pioneered the development of Generative Models for synthetic human creation for the Pixel FaceID. I've designed, developed and deployed a model that could render different human faces of different ethnicities and under different field conditions to improve our existing facial recognition models. As a result, this model improved Facial Recognition performance for underrepresented ethnicities by an order of magnitude while saving over 80M USD in data collection costs. <br> Leveraging my experience at Google Research, I spearheaded the development of groundbreaking virtual try-on technology at Korgi.ai, developing Hypernetwork based Generative models that could render photorealistic clothing from a brand's catalog into customer's bodies, or even put them in AI created synthetic models. This technology was leveraged to reduce marketing costs in promoting fashion lines while increasing conversions. In this company, I served as the Founder and Principal research scientist, managing a cross functional team of 10. I also worked as an AI team lead for Smile Identity, a Series B biometrics startup operating in Africa. In there, I've managed a team of 5 consisting of research scientists and developers. I've designed custom models to prevent fraudulent biometrics attacks, developed custom low footprint facial recognition algorithms that can function in low tech settings and architected the infrastructure to enable this service to serve millions of requests. I'm now working on Synthhaven, a company that uses small, independent LLM agents to automate the creation of marketing campaigns, advertising campaigns. We are building a suite that lets agents interact with a business' entire marketing pipeline and iterate on different campaigns.

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Yusuph M. Mavura, PhD

13 Years Experience
PhD, Epidemiology and Translational Science, University of California San Francisco.
Education

Georgia Institute of Technology

Master's degree, Bioinformatics / December, 2018

Experience

Georgia Institute of Technology

Masters Student / August, 2017December, 2018

M.S. Bioinformatics graduate at Georgia Institute of Technology. Analysis of mutations in cancer driver genes in primary, metastatic and recurrent ovarian cancer whole-exome sequencing (WES) samples.

About
Yusuph M. Mavura is a PhD holder in Epidemiology at the University of California, San Francisco. He holds a Master's degree in Bioinformatics from Georgia Institute of Technology and a Bachelor's degree in Biochemistry and Molecular Biology from Jomo Kenyatta University of Agriculture and Technology (JKUAT). His research interests include infectious diseases, genomics, and data analysis. Prior to his current position, Dr. Mavura has gained experience in various research settings. He has served as a Principal Investigator at the University of California, San Francisco, conducting research on the epidemiology of infectious diseases. He also worked as a graduate student researcher at the same institution, focusing on the application of bioinformatics in infectious disease research. Before pursuing his graduate studies, Dr. Mavura worked as a summer intern at the National Institutes of Health (NIH) Intramural Research Program (IRP), where he contributed to research on the molecular mechanisms of infectious diseases. He has also worked as a research assistant at the International Centre of Insect Physiology and Ecology (ICIPE), where he conducted research on insect-borne diseases. During his undergraduate studies, Dr. Mavura gained research experience as an intern at the University of Konstanz, where he worked on a project investigating the role of microRNAs in cancer. He also worked as an undergraduate student at Jomo Kenyatta University of Agriculture and Technology, where he conducted research on the genetic basis of drug resistance in malaria parasites. Dr. Mavura is passionate about using interdisciplinary approaches to tackle complex public health issues. He is committed to making meaningful contributions to the field of epidemiology and improving global health outcomes through his research. In his free time, he enjoys traveling, hiking, and playing soccer.

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