Gaurav Pandey, PhD
- ASSOCIATE PROFESSOR | Genetics and Genomic Sciences
Research Topics:
Bioinformatics, Biostatistics, Computational Biology, Drug Design and Discovery, Epigenetics, Gene Regulation, Mathematical Modeling of Biomedical Systems, Mathematical and Computational Biology, Microarray, Oncogenes, Protein Structure/FunctionGaurav Pandey is an Associate Professor in the Department of Genetics and Genomic Sciences and a faculty member of the Icahn Genomics Insitute at the Mount Sinai School of Medicine (New York). He completed his Ph.D. in computer science and engineering from the University of Minnesota, Twin Cities in 2010, and subsequently completed a post-doctoral fellowship at the University of California, Berkeley. His primary fields of interest are computational biology, genomics and large-scale data analysis and mining, and he has published extensively in these areas.
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Genetics and Genomic Sciences [GGS]Education
PhD, University of Minnesota
Post-doctoral scholar, University of California, Berkeley
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2015
IBM Faculty Award -
2011
Certificate of recognition for excellent contributions to data mining research -
2009
Doctoral dissertation fellowship -
2009
Structure extraction from unstructured documents, US Patent 7,562,088 -
2004
Finalist for Ph.D. fellowship (one of about 30 candidates across all Comp. Sc. departments) -
2004
Undergraduate scholarship
Computational genomics and large-scale data analysis/mining
Our lab develops and applies computational methods for building predictive and network models of complex biological processes and diseases. These data-driven methods have become critical in the new era biology, which is witnessing an explosion of the amount and types of data like never before. Using such approaches, we have gained successful insights into immunological processes, large-scale interactions between genes and proteins and survival of breast cancer patients. We also have a continuing interest in the computational prediction of protein function and the development of novel data mining and machine learning methods. For more details of our work, check out our lab website.
We have built successful collaborations with immunologists and cancer and cardiovascular specialists, with many more being planned. We are a small lab right now, because of which the PI can pay more attention to lab members' projects and problems. We are a completely computational or bioinformatics lab right now, so some computing experience will be appreciated, but not necessary. The main requirement is a strong motivation to learn and excel. If you are interested in joining us (we hope you are!), send an email to gaurav.pandey@mssm.edu to set up a time for discussion. We are located within the Genomics Institute's suite on the 3rd floor of the Icahn Medical Institute.
Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.
Dr. Pandey did not report having any of the following types of financial relationships with industry during 2022 and/or 2023: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website. Patients may wish to ask their physician about the activities they perform for companies.