Advising

We are recruiting motivated and hard-working people interested in the intersection of AI/ML and statistics, Bayesian methods and computation, graphical models, sequential decision making, reinforcement learning and large-scale health data analytics. You can review recent publications to get a rough sense of what we are working on; it often is much more effective to talk if there is a sense of match in interest/technical ability/vision.

I am extremely fortunate to have worked with many excellent graduate students at UM. Under an apprenticeship model, I have been working closely with my students to gain practical research experience, which when combined with individual students’ particular strengths led to mutually rewarding collaborations and research results. My goal in mentoring is to train students who will be highly sought-after in areas of their interests upon graduation.

I very much look forward to meeting you! Let’s do the following to streamline the process.

For potential trainees and student visitors, please consider providing relevant information via Google Form here.

Please send an email if none of the following applies to you!

UMich Students

Non-UMich Folks