Could you talk about your graduate work in AI? Also, out of curiosity, did you weight possible contribution towards a positive singularity heavily in choosing your subfield/projects?
(I am trying to figure out whether it would be productive for me to become familiar with AI in mainstream academia and/or apply for PhD programs eventually.)
I work on computationally bounded statistical inference. Most theoretical paradigms don't have a clean way of handling computational constraints, and I think it's important to address this since the computationally complexity of exact statistical inference scales extremely rapidly with model complexity. I also have recently starting working on applications in program analysis, both because I think it provides a good source of computationally challenging problems, and because it seems like a domain that will force us into using models with high complexity.
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