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About Me

I am a Senior Applied Science Manager at Oracle Health, where I lead applied science work on GenAI products for clinical trials and real-world data applications. My recent work focuses on clinical trial recruitment, real-world evidence, clinical value set authoring, and building useful AI systems for healthcare. Before Oracle, I was a Staff Research Scientist at insitro, where I worked on machine learning and statistical genetics for target discovery in metabolic disease and neurodegeneration. Earlier, I worked at Microsoft’s AI for Good Research Lab and Sage Bionetworks.

Broadly, my research interests are in clinical machine learning, statistical genetics, computational biology, representation learning, and AI for science. I am especially interested in how ML-derived phenotypes and multimodal clinical data can be used carefully for genetic discovery and therapeutic hypothesis generation. I received my Ph.D. in Electrical and Computer Engineering from the University of Washington, where I worked on learning and inference methods for single-cell RNA-seq data.

Current Research Interests

• Machine Learning for Health 

• Statistical Genetics 

• AI for Science

• Computational Social Science