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Research OverviewMy research lab advances machine learning and foundation models with applications across healthcare AI (MS prognosis, lupus flares, MRI motion/pose, MSK radiographs), educational AI (admissions analytics, LOR bias, AI-generated materials, LLM bias auditing & mitigation), and computational finance (statistical arbitrage, sentiment & meme stocks). Methodologically, we develop calibrated ensembles, temporal models for longitudinal data, and representation learning approaches that emphasize fairness, robustness, and cross-domain relevance. PublicationsExplore our works from different perspectives: At-a-Glance Highlights
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