Finale Doshi-Velez

 

Interests

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 nonparametrics)
• Decision-making under uncertainty (especially sequential decision-making)

In person: I'm traveling/have several local off-campus commitments in July and August.  Stay tuned for summer office hours/regular office hours will resume in the fall.

 

Email: I get a lot of email, and I don't always have time to reply.  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.