Curriculum Vitae
Machine learning researcher building and validating clinical AI: foundation models on longitudinal EHR, LLM and multi-agent risk prediction, evaluation frameworks, and the MCP tooling that moves models into production. Ph.D. in Measurement & Statistics (University of Washington), postdoctoral training in causal inference (Harvard University).
Positions
2024 –
Postdoctoral Researcher
AI & Workflows team, Truveta · Bellevue, WA
2023 – 2024
Postdoctoral Fellow, Causal Inference
Harvard University · Cambridge, MA
Education
Ph.D.
Measurement & Statistics
University of Washington · Seattle, WA
M.A.
Educational Psychology
University of Texas at Austin · Austin, TX
More
Full publication list on Publications, presentations on Presentations, and courses on Teaching.