Rishabh Goel

Research Interests: Machine learning and bioinformatics methods that integrate molecular and clinical data.

Rishabh studied Molecular and Cellular Biology and Business Administration at The University of California, Berkeley. After his undergraduate studies, he led the data science platform at a YC and Khosla-backed biotech startup, contributing to a provisional patent for machine learning systems aimed at detecting patient subphenotypes in real-time. He also conducted research at Rice University where he helped develop cPCR, a method that enables deep and scalable single-cell analysis.

Previous Education:

BS, Molecular and Cellular Biology: Biochemistry and Business Administration (Double major) - University of California, Berkeley