Profile
Rishabh Sharma is a Data Science Analyst in the Hayat Lab at the Cardiovascular Research Institute at Mount Sinai Health System. He received his B.S. in Chemical Engineering from the University of Southern California in 2020 and his M.S. in Data Science from the University of Rochester in 2024.
Prior to joining Mount Sinai, he worked at UCSF on generative approaches for drug discovery and chemical space exploration, and at a biotechnology startup and Cedars-Sinai on deep learning methods for histopathology, including foundation models and image segmentation.
His research interests lie at the intersection of machine learning, computational biology, and drug discovery, with a particular focus on transcriptome-guided drug discovery, generative models for chemistry, and multimodal data integration.
Research area
Transcriptome-guided drug discovery, generative models for chemistry and multimodal data integration
Publications
- Nogueira VHR, Sharma R, Guido RVC, Keiser MJ. Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation. J Chem Inf Model (2025).