Summary
Chaitanya Joshi is a researcher-engineer blending deep learning and wet-lab biology with 10 years of experience across academia and industry, currently a Stanford postdoc building lab-in-the-loop AI for RNA under Prof. Rhiju Das. His PhD from Cambridge focused on diffusion models, geometric GNNs and transformers for 3D biomolecular structure and design, supported by Qualcomm and A*STAR fellowships. He has internship experience shipping generative chemistry models at Meta FAIR and geometric protein-design work at Prescient/Genentech, and earlier built production ML systems at SAP that reduced compute by 99%. Comfortable moving models from theory to large-scale experiments, he frequently bridges computational and experimental teams and has a track record of open-source and conference impact dating back to NTU and EPFL. Outside work he’s interested in how AI accelerates scientific discovery—from novel medicines to energy materials—and maintains a public portfolio at chaitjo.com.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Cambridge
High School, Computer Science, Mathematics, Physics, Chemistry, English, High School, Computer Science, Mathematics, Physics, Chemistry, English at The Mother's International School
Exchange Program, Computer Science, Exchange Program, Computer Science at EPFL
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Nanyang Technological University Singapore
English, Hindi, French