About

I work as a computational biologist in the Getz Lab at Broad Institute.

I earned a PhD in Computer Science[s] at University of Wisconsin - Madison. I was fortunate to be advised by Tony Gitter.

Some topics that interest me:

• Bayesian machine learning for systems biology and cancer applications.
• Machine learning on non-i.i.d. data: sequences, hierarchies, networks.
• Machine learning on high-dimensional data with few samples.
• Probabilistic programming.
• Bayesian inference methods.

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

I studied math and physics as an undergrad. This background provided a solid foundation for my career. Since then, I’ve done a lot of catching up in CS and biology.

I hope this blog evolves into something useful and interesting.