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.