I am a machine learning researcher with a PhD in Biomedical Engineering from Johns Hopkins University. I develop learning systems that can adapt to changing data, retain knowledge over time, and make reliable predictions under uncertainty, with applications spanning foundation models, continual learning, multimodal AI, and healthcare.
- 🧠 SHARP — Sleep-inspired foundation model for efficient long-range, non-stationary learning; CoLLAs 2026 Oral
- ♾️ Continual Learning — Developed SiLLy and forward/backward transfer evaluation methods through DARPA L2M research with Microsoft Research
- 🎯 Reliable AI — Developed geodesic-kernel uncertainty calibration methods evaluated across 45+ datasets
- 🏥 Clinical AI — Developing LLM-based methods for clinical reasoning using multi-center trauma data
- 📚 16 publications | 250+ citations | h-index 7
- ProgLearn — continual learning
- hyppo — Multivariate hypothesis testing
- SHARP — Sleep-inspired hierarchical accelerated replay
- KDG — Kernel-density-based learning and calibration
TPAMI • TMLR • CoLLAs • PLOS One