Real world training envs for healthcare AI models
Healthcare and drug discovery AI is bottlenecked by fragmented, unstructured, and inaccessible clinical and experimental data that is slow and expensive to generate.
BioStack provides proprietary data pipelines that structure longitudinal multimodal biomedical workflows into ML-ready training environments for post-training and reinforcement learning.
AI labs and life sciences organizations (e.g., pharma, hospitals, labs, CROs) building and training healthcare and drug discovery models.
I'm the co-founder and CEO of BioStack Platforms. In another life, I was a cancer genomics researcher at Stanford, Yale, Carnegie Mellon, and the Max-Planck Institute. I also worked as an early researcher with top AI labs on RL tasks and benchmarks across healthcare and biotech. Hailing from Mumbai, I attended IISER Mohali and Carnegie Mellon for my BS and MS degrees respectively.
I am the Co-founder and CTO at BioStack Platforms. Prior to this, I was a Gen AI scientist at AWS. Before that, I was a researcher at MIT. I have published 40+ papers with 1800+ citations across top venues like CVPR, neurIPS, EMNLP etc. in ML, GenAI, NLP. I completed my MS from UCLA.




