I work to build a world where people age healthily, and then die suddenly, peacefully, at a very old age. 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, clinical, and environmental data, an essential combination often missing from current therapeutic practice.

By day, I am as a Senior Researcher at Microsoft Research Health Futures in Cambridge, MA working on building faster and more accurate AI models for rare disease diagnoses and cancer therapeutics with the Broad Institute of MIT and Harvard.

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.