You may also want to check out our shiny group website. Also, this website continues to lack older things from my PhD; that is on my old website.
Interests
I head the Data to Actionable Knowledge (DtAK) group at Harvard Computer Science. We use probabilistic methods to address many decision-making scenarios involving humans and AI. Our work spans specific application domains (health and wellness) as well as broader socio-technical questions around human-AI interaction, AI accountability, and responsible and effective AI regulation. Our work falls into three major areas:
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Probabilistic modeling and inference (especially Bayesian models): How can we characterize the uncertainty in large, heterogeneous data? How can we fit models that will be useful for downstream decision-making? How can we build models and inference techniques that will behave in expected and desired ways?
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Decision-making under uncertainty (especially sequential decision-making): How can we optimize policies given batches of heterogeneous data? How can we provide useful information, even if we can't solve for a policy? How can we characterize the limits of our ability to provide decision support?
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Interpretability and statistical methods for validation: How can we estimate the quality of a policy from batch data? How can we expose key elements of a model or policy for expert inspection?
Short Bio (+ CV, photo)
Getting in touch
I am on sabbatical at NUS during AY22-23. I will not be holding office hours, and I expect to even less on top of email than usual. Colleagues, collaborators you know how to reach me via text, slack, etc. Others: If I don't reply promptly regarding reviews, talks, etc. sadly, I cannot help.
In person: During office hour, 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.
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. 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.