I do research in the broad fields of computational and data science. This encompasses aspects from computer science, statistics, and applied mathematics, including:
- computational, mathematical, and statistical modeling
- systems biology
- high performance, parallel, distributed, and cloud computing
- big data, data analytics, and data management
- optimization, machine learning, and parameter estimation
- numerical analysis
I received my PhD in Computer Science from the University of California, Santa Barbara, where I worked in Professor Linda Petzold's computational science research group.
My research at the University of Minnesota was funded by the NIH (PI: Hans Othmer). At St. Olaf, my work was funded by NSF (PI: Matt Richey and Julie Legler). My Ph.D. research was funded by an NSF IGERT Fellowship in Computational Science and Engineering, an NSF Graduate Research Fellowship, and UCSB's Institute for Collaborative Biotechnologies. I also worked on projects that were funded by NSF, NIH, DOE, Pfizer, and the UCSB Institute for Collaborative Biotechnologies.
- I helped design and develop StochKit2.0 (download here).
- Previously, I was involved in a diabetes research project funded by Pfizer.
Before graduate school, I worked at the Mayo Clinic in Rochester, Minnesota where I worked on Parkinson's disease research. You can see my Mayo publications on PubMed.
The images on the right are from my previous insulin resistance pathway (diabetes) research--they show the response of a glucose transporter to insulin for different models. The image on the left is from my undergraduate research on numerical solutions of the wave equation.