About

I work to build a world where people age healthily, and then die peacefully, at a very old age without protracted illness or disability. I do this through my general research theme, where I build expert-centered interpretable AI methods and interactive platforms to enable more effective human-in-the-loop in-silico hypothesis testing and downstream decision-making in biomedical and clinical settings. I build these tools by contributing to the data generation or aggregation process, followed by integrating omic data beyond the genome, in combination with clinical, and environment data, an essential combination often missing from current therapeutic practice.

☀️ By day, I am a Senior Researcher on the Biomedical ML team at Microsoft Research Health Futures at the New England Research Division (NERD) in Cambridge, MA. There, I build faster and more accurate AI models for biology, focusing on epigenetics and the interactions with transcriptomics and genomics.

In partnership with the Broad Institute of MIT and develop Harvard, I am both a researcher within Project Ex Vivo, where we aim to AI models to improve personalized cancer therapeutics, and a research lead in an initiative with Dr. Heidi Rehm and team to build AI tools to reduce latency and improve solve rates in rare disease diagnoses.

🌙 By night, I serve on several Boards and develop programs to empower the next generation of underrepresented groups in science, particularly computer science.

Check out my biography on my Microsoft page, and connect with me on LinkedIn.