Computational Biologist

In the era where a personal genome can be sequenced for less than $200, we now have access to a vast wealth of information about how DNA varies between human individuals - and between species as well.

Furthermore, rapidly advancing computational power - and the algorithms and mathematical models which can take advantage of it - enable us to find patterns in these genetic variations. In turn, these patterns can give us valuable insight into how we respond to different environmental factors, how human diseases arise, and more broadly, the link between genotype and phenotype.

My work focuses particularly on proteins - the building blocks of our cells that are encoded within the genome. A key (and incredibly difficult) challenge in biology is understanding how proteins fold into their functional structure(s), and how they interact with other proteins and other molecules. Many human diseases arise from when something goes wrong in the folding process.

I use mathematical modeling, machine learning, and other computational methods to better understand how proteins have evolved, how they fold, and how they interact in the larger context of the cell and the outside environment. I got my PhD from MIT in 2016 (in Jeremy England's biophysics group), and am currently doing a joint postdoc with Prof. Debora Marks and Prof. Chris Sander at Harvard Medical School.

Outside the Lab

When not wrangling computer clusters to do my bidding, I enjoy chilling with my Yorkie (Frodo) and my spouse (Tomo Lazovich). I also love performing sketch comedy in the greater Boston area, having mixed luck at pub trivia, and watching competitive cheerleading!


Massachusetts Institute of Technology - PhD in Computational and Systems Biology 2016

Harvard University - SB Engineering Sciences (ABET-accredited) - 2011

Please see CV for more information!