Building AI systems for healthcare, biomedical research, and scientific discovery.
I'm an Applied AI Scientist working at the intersection of LLMs, Clinical Development, Drug Discovery, and Machine Learning. My work spans from production AI systems used in pharmaceutical R&D to open-source research focused on biomedical intelligence.
Currently I'm exploring:
- 𧬠AI + Drug Developement
- π€ Agentic AI for Clinical Development
- π Clinical Trial Intelligence
- π§ Biomedical Knowledge Graphs
- πΌ AI Product & Strategy Lead in Pharma & Healthcare
- π M.S. Data Science & AI β University of Texas at Austin
- 𧬠Research in Genetics & AI - Imperial College London
- Ex Lead Data Scientist @ Bristol Myers Squibb
- Ex Data Scientist @ Delhivery
Building an AI platform that combines:
- Clinical trial evidence
- Biomedical knowledge graphs
- Literature mining
- Patient-level data
- LLM reasoning
to identify promising therapeutic opportunities for existing drugs.
A benchmark for evaluating LLMs and AI agents on clinical trial and regulatory tasks.
Focus areas include:
- Eligibility reasoning
- Protocol understanding
- Trial matching
- Regulatory intelligence
- Biomedical QA


