Welcome!
I am the Margaret Oakley Dayhoff Professor of Bioinformatics in the at . My research explores different ways to computationally model biological systems, concentrating on how diseases such as cancer affect these systems.
Before joining Reed in 2015, I was a Postdoctoral Associate in the at , working with . I developed graph and hypergraph algorithms for signaling pathway prediction.
I received my PhD in 2012 from the at , advised by (who is now at Princeton). My dissertation focused on analyzing structural variants in human and cancer genomes. I received my Master's from Brown in 2008 for work on motif identification from phosphoproteomic data.
I received my undergraduate degree from in 2006. Advised by , I worked with chemists to develop useful and scalable tools to analyze atmospheric particles.
Latest News
- Fall 2026
- I gave a talk on building computational biology capacity at the .
- Our registered report on a benchmark for signaling pathway reconstruction is under review at
Nature Methods! See the preprint on . - Spring 2026
- Interested in meeting other computational biology faculty at undergraduate instituitons? Apply to participate in the Computational Biology Peer Mentor Network!
- Fall 2025
- I gave a talk in Pomona's Computer Science colloquium.
- Altaf Barelvi and Oliver Anderson wrapped up their multi-year post-bac positions with me. This fall their major work was published: , a that connects proteins to biological processes within a network, and , a method to enumerate small network patterns in graphs with directed and undirected edges. Good luck on your next steps!
- I start my second (and final) year as Biology Department Chair.
- I am honored to receive the named position of the Margaret Oakley Dayhoff Associate Professor of Bioinformatics, named after one of the absolute pioneers in bioinformatics.
- My Mid-Career Advancement (MCA) proposal was ! Holy cow.
- More News