I am a Computer Science[s] PhD student at University of Wisconsin - Madison.

I work in computational biology, advised by Tony Gitter.

Some questions and topics that interest me:

  • How do we extract useful insights from experimental data in extremely complicated settings?
  • Machine learning beyond i.i.d. data: sequences, hierarchies, networks.
  • Machine learning on small datasets, or in other settings where deep learning isn’t viable.
  • Connections between computation and statistics.
  • Bayesian inference methods.
  • Probabilistic programming.

At the beginning of grad school, I spent some time in programming languages research.

I studied math and physics as an undergrad. This background has its benefits, though I’ve done a lot of catching up in CS.

I hope this blog evolves into something useful and interesting.

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