This website continues to be under construction -- if you can't find something here, please also try my old website.
I am excited about methods to turn data into actionable knowledge: How can we design robust, principled models to combine complex data sets with other knowledge sources? How can we design models that summarize and generate hypotheses from such data? How can we characterize the uncertainty in large, heterogeneous data to provide better support for decisions? In my group, we use probabilistic methods to address these questions.
I am interested in a range of research areas from core machine learning to healthcare and other applications:
Interpretable models for characterizing patterns from data (e.g. phenotyping disease and disease progression from healthcare records)
Probabilistic modeling and inference (especially Bayesian models)
Decision-making under uncertainty (especially sequential decision-making)
Getting in touch
In person: My office hours are generally 3:30-4:30 on Wednesdays. When I have my office hour, please come in (don't wait outside) even if other people are inside. I will ask everyone about what they want to discuss, and discuss similar topics together. I usually give class-related questions first priority, then switch over to general topics and then back again. If you have a form that needs signing, just interrupt. Please note my new office, Science Center 316.04.
Email: I get a lot of email, and my inbox is
generally an absolute disaster. Unfortunately, many times I don't even have a chance to read all my email in a timely fashion. Please help me by reading my website first, having an informative subject line, and pinging again if you feel like I might have lost your mail. Office hours don't require an email first, and are a great time to also catch me in person.
Phone: I don't have an office phone any more. Please email or stop by in person.