AI-based pancreatic cancer screening
Risk prediction and earlier detection of pancreatic cancer using longitudinal clinical data.
AI for Healthcare · Early Cancer Screening
Postdoctoral Research Fellow
Dana-Farber Cancer Institute | Harvard T.H. Chan School of Public Health
I develop machine learning methods for clinical prediction, with a current focus on AI-based pancreatic cancer screening. My broader interests include multimodal learning, explainable AI, and model generalizability across healthcare systems and institutions.
Research
Risk prediction and earlier detection of pancreatic cancer using longitudinal clinical data.
Methods that integrate structured EHR data, text, imaging, and other clinical modalities.
Interpretable and clinically meaningful explanations for predictive models.
Building models that remain reliable across healthcare systems, institutions, and patient populations.
Background
University of Wisconsin–Madison
University of Wisconsin–Madison
University of Wisconsin–Madison
Recognition
Featured for work on fair two-year stroke risk prediction. Read feature
Trauma severity stratification paper selected as a monthly discussion paper.
$16,777 award. Challenge results
Preterm Birth Prediction, Task 1. Challenge results
n2c2 Track 3 — Progress Note Understanding. Challenge results
HHS/BARDA, Task 1 · $100,000 award. Challenge results
Task 1. Challenge results
Patient Mortality prediction. Challenge results
More about me
Record
I participated in a Guinness World Records event for the most people simultaneously keeping a soccer ball in the air. View photo
Driving
I enjoy driving manual-transmission cars and trucks—even box trucks— although I don't currently own either.
Sports
In my spare time, I enjoy playing soccer. I’m also an avid fan of Liverpool FC, Vancouver Whitecaps FC, the Green Bay Packers, and the Milwaukee Bucks—teams that have given me plenty of practice managing expectations. More recently, my son’s enthusiasm for NASCAR has rubbed off on me, and I’ve become a Ryan Blaney fan.