Gaurav Pandey, PhD
- ASSISTANT 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/Function
Gaurav Pandey is an Assistant Professor in the Department of Genetics and Genomic Sciences at the Mount Sinai School of Medicine (New York) and is part of the newly renamed Icahn Institute for Data Science and Genomic Technology. 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 AreaGenetics and Data Science [GDS]
PhD, University of Minnesota
Post-doctoral scholar, University of California, Berkeley
IBM Faculty Award
Certificate of recognition for excellent contributions to data mining research
Doctoral dissertation fellowship
Structure extraction from unstructured documents, US Patent 7,562,088
Finalist for Ph.D. fellowship (one of about 30 candidates across all Comp. Sc. departments)
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 firstname.lastname@example.org 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.