Work with thought leaders and academic experts in Computational biology

Companies can greatly benefit from working with someone whose expertise is in the field of Computational biology. These experts can provide valuable insights and solutions to complex biological problems. They can help in drug discovery and development, genetic analysis, personalized medicine, and bioinformatics. Computational biologists can also assist in optimizing processes, improving efficiency, and reducing costs. Their expertise in data analysis and modeling can lead to the development of innovative solutions and technologies. Collaborating with Computational biology experts can give companies a competitive edge and help them stay at the forefront of scientific advancements.

Researchers on NotedSource with backgrounds in Computational biology include Aayudh Das, Ph.D., Ping Luo, Dr. Michael W. Craige, PhD, MBA, Emiliano Perez Ipiña, Dr. Justin Whalley, Ph.D, and Aditya Kshirsagar.

Aayudh Das, Ph.D.

Boston, Massachusetts, United States of America
10 Years Experience
Scientist at Garuda therapeutics, specialized in Genomics and Computational Biology
Education

University of Vermont

PhD, Plant Biology / April, 2022

Burlington, Vermont, United States of America

Texas A&M University

Master's in Biochemistry, Biochemistry & Biophysics / May, 2016

College Station, Texas, United States of America

University of Calcutta

Master's, Biotechnology

Kolkata
Experience

Garuda therapeutics

Scientist / July, 2023 — Present

The Pennsylvania State University - University Park Campus

Postdoctoral Researcher / June, 2022 — July, 2023

University of Vermont

Research Assistant / May, 2016 — May, 2022

Most Relevant Research Expertise
Computational Biology
Other Research Expertise (14)
Transcriptomics
Genomics
Proteomics
Metabolomics
Ecology, Evolution, Behavior and Systematics
And 9 more
About
I am a dedicated Scientist-I at Garuda Therapeutics, where I specialize in computational biology and genomics within the R&D department. My work primarily revolves around developing and optimizing pipelines for variant calling using Strelka2 and GATK4 with Whole Genome Sequencing (WGS) to identify oncogenes in human induced pluripotent stem cells (iPSCs). This involves extensive work in the qualification and validation of these pipelines for regulatory filings, as well as leveraging databases such as ClinVar, COSMIC, and DepMap to craft targeted oncogenes panels for deep sequencing. I also apply Next-Generation Sequencing (NGS) for downstream sequencing to validate CRISPR knockouts, including the identification and validation of CRISPR off-targets using techniques like rhAMPseq and Induce-seq. Additionally, my expertise extends to single-cell sequencing analysis and understanding structural variants with Optical Genome Mapping (Bionano). Prior to joining Garuda Therapeutics, I completed a postdoctoral fellowship in computational biology at Pennsylvania State University, where I honed my skills in identifying climate-adaptive variants and conducted Genome-Wide Association Studies (GWAS) to uncover resistance genes against parasites and other stressors. My academic journey began at the University of Vermont, where I explored abiotic stress resistance genes using transcriptomics and developed a robust understanding of RNA-seq data analysis, from assembly to gene annotation. My work is driven by a passion for leveraging computational and genomics tools to address pressing challenges in biology and healthcare, combining my rigorous academic training with a practical, solution-oriented approach to research and development.

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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.

Research Expertise (22)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 17 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.

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Dr. Michael W. Craige, PhD, MBA

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

Rutgers, The State University of New Jersey

Ph.D., Biomedical Informatics

New Brunswick, New Jersey, United States of America

Georgia Tech

MBA, Business Administration and Management

Atlanta, Georgia, United States of America

DeVry University

Master on Health Service/Management, Healthcare Administration

Downers Grove, Illinois, United States of America
Experience

CiDrep Informatics

CEO / January, 2012 — December, 2020

Biomedical Informatics • Research Technology • Informatics • Cancer Data Science • Clinical Data Management

Rutgers, The State University of New Jersey

Postdoctoral Research Fellow / August, 2021 — April, 2024

Oncology Data Science (Prostate Cancer)

Emory University School of Medicine

Scientist / March, 2020 — July, 2021

Pediatric Neurology (Epilepsy)

Most Relevant Research Expertise
Computational Biology
Other Research Expertise (5)
Biomedical Informatics
Neuroinformatics
Bioinformatics
Cancer Research
Oncology
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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Emiliano Perez Ipiña

Baltimore, Maryland, United States of America
8 Years Experience
Johns Hopkins University
Education

Universidad de Buenos Aires

Ph.D., Physics / October, 2015

Buenos Aires
Experience

Université Cote d'Azur

Postdoctoral researcher / March, 2016 — September, 2018

Ezako

R&D researcher, specialist in data analysis and modeling / September, 2018 — December, 2019

Johns Hopkins University

Postdoctoral Researcher / January, 2020 — Present

Most Relevant Research Expertise
Computational Biology
Other Research Expertise (3)
biological physics
statistical physics
Active matter physics
About
I am interested in the diffusion and motility of microorganisms, such as bacteria and cells, the interaction with their habitats, the propagation of information inside biological systems, and the robustness of signal processing under fluctuating environments.

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Dr. Justin Whalley, Ph.D

North Chicago, Illinois, United States of America
9 Years Experience
Assistant Professor of Bioinformatics, with experience in finding the quintessential features in large, multi-layered 'omic datasets.
Education

Université d'Évry Val-d'Essonne

Ph.D., Bioinformatics / May, 2015

Évry

University of Bristol

M.Sci., Mathematics / June, 2008

Bristol
Experience

University of Oxford

Senior Bioinformatician / 2017 — 2022

Rosalind Franklin University of Medicine and Science Chicago Medical School

Assistant Professor of Bioinformatics / 2023 — Present

CNAG

Postdoctoral Researcher / 2014 — 2017

Research Expertise (19)
Genomics
Bioinformatics
Immunity
Tensor decomposition
Cancer
And 14 more
About
Dr. Justin P. Whalley was educated in the UK (M.Sci. Mathematics, University of Bristol) and France (Ph.D. Bioinformatics, University of Évry). He moved to Spain to work as a postdoc at the National Center for Genomic Analysis (CNAG). During his time there, he ran the Quality Control working group for the Pan-Cancer Analysis of Whole Genomes project to assess the data coming in and reduce batch effects. This involved collaboration with researchers from the Broad Institute of MIT and Harvard, the German Cancer Research Center and the Wellcome Sanger Institute in the UK. He returned to the UK to work as a [Senior Bioinformatician at the University of Oxford](https://www.well.ox.ac.uk/people/jpw/). His time there coincided with the global pandemic and he was deeply involved in the COvid-19 Multi-omics Blood ATlas (COMBAT) consortium as the lead for the Integration (Tensor) working group. Dr. Whalley became a member of the [faculty of the Chicago Medical School at Rosalind Franklin University of Medicine and Science](https://www.rosalindfranklin.edu/academics/faculty/justin-p-whalley/) in January 2023.

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Aditya Kshirsagar

Memphis, Tennessee, United States of America
1 Years Experience
St. Jude Children’s Research Hospital
Education

Weizmann Institute of Science

Ph.D., Molecular Genetics and Neuroscience / October, 2022

Rehovot
Experience

St Jude Children’s Research Hospital

Postdoctoral Research Associate / June, 2023 — Present

Most Relevant Research Expertise
Computational biology
Other Research Expertise (8)
Neuroscience
Developmental Biology
RNA biology
Tissue Engineering
Biochemistry
And 3 more
About
Aditya Kshirsagar is a highly educated and experienced scientist focused on molecular genetics and neuroscience. He obtained his Ph.D. in Molecular Genetics and Neuroscience from the prestigious Weizmann Institute of Science in 2022. He gained extensive knowledge and expertise in genetics, molecular biology, and neuroscience during his doctoral studies. After completing his Ph.D., Adi joined St Jude Children's Research Hospital as a Postdoctoral Research Associate. Here, he has been involved in cutting-edge research projects, studying the genetic basis of various neurological disorders. He has published several research papers in top scientific journals, making significant contributions to genetics and neuroscience. Adi's passion for understanding the complex mechanisms underlying human diseases has driven him to pursue a research career. He is keen on developing integrated experimental and computational approaches for single-cell and spatial omics to uncover the mechanisms underlying complex neurological conditions and malignancies. He is highly skilled in experimental techniques and has a keen eye for detail, enabling him to design and execute innovative experiments. He is also well-versed in data analysis and interpretation, making him a valuable asset to any research team. His core competencies include embryonic stem cell biology, cortical development, 3D brain organoid models, RNA biology, next-generation sequencing, single-cell biology, multi-omics, and live imaging microscopy techniques. He is also proficient in R and Python programming and experienced in computational pipeline implementation, machine learning & AI, and comprehensive data integration. In addition to his scientific work, Adi is also dedicated to mentoring and teaching the next generation of scientists. He has supervised several master's and undergraduate students, guiding them in their research projects and helping them develop their scientific skills. Overall, Aditya Kshirsagar is a dedicated scientist with a strong background and a track record of excellence in research. His contributions to molecular genetics and neuroscience can potentially significantly impact the diagnosis and treatment of various diseases. Adi is passionate about exploring the potential of cutting-edge technologies and approaches to unravel the mysteries of the human brain and improve patients' lives.

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Example Computational biology projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computational biology?

Drug Discovery and Development

A Computational biology expert can assist pharmaceutical companies in identifying potential drug targets, predicting drug efficacy, and optimizing drug design. By leveraging computational models and algorithms, they can accelerate the drug discovery and development process, saving time and resources.

Genetic Analysis

Companies in the biotechnology and healthcare industries can benefit from the expertise of Computational biologists in analyzing genetic data. They can help in identifying disease-causing genes, understanding genetic variations, and predicting disease risk. This information can be used for personalized medicine, genetic testing, and developing targeted therapies.

Bioinformatics

Computational biologists can play a crucial role in analyzing and interpreting large-scale biological data, such as genomics, proteomics, and transcriptomics data. They can develop algorithms and tools to extract meaningful insights from complex datasets, enabling companies to make data-driven decisions and discoveries.

Optimizing Processes and Efficiency

By applying computational modeling and simulation techniques, Computational biologists can help companies optimize various biological processes. This includes optimizing fermentation processes in the food and beverage industry, improving crop yield in agriculture, and enhancing production processes in biomanufacturing.

Machine Learning and AI in Healthcare

Computational biologists can leverage machine learning and artificial intelligence techniques to analyze medical imaging data, predict disease outcomes, and develop predictive models for personalized healthcare. This can lead to more accurate diagnoses, better treatment plans, and improved patient outcomes.