We develop computational methods for lab medicine
We are part of the Department of Laboratory Medicine & Pathology, and Department of Bioengineering. Hospitals collect so much data through laboratory testing, and we want to use it better. We build computational tools to improve patient care, save clinician time, and uncover physiologic insights. Our approaches intersect math modelling and machine learning with large-scale, multi-modal clinical data. We work on problems across medicine, but are particularly focused on hematology, cardiology, and critical care.
RECENT NEWS
- Aug 2025: New papers in JALM, Blood Advances, and Clinics in Laboratory Medicine
- July 2025: Attila Jamilov joins the lab!
- May 2025: Multiple abstracts presented at the 2025 API conference.
- May 2025: Amber Chen passed her PhD general exam!
- Jan 2025: New paper in Nature Communications
- Dec 2024: New paper in Nature!