I started learning how to apply mathematical models to chemical and biological systems in 2007 and haven’t looked back since. My current research interests are focused on modeling cancer and the immune system from the molecule level all the way through the full body level.

In search of engineering/scientific expertise in computational biology or chemical engineering, or interested in working on a project together? Check out my Consulting page and contact me.

Research Highlights

I am currently a Postdoctoral Research Fellow in the Popel Systems Biology Lab at Johns Hopkins University School of Medicine. My research is focused on building multi-scale models, molecular through tissue scale, to study immune checkpoint blockade therapies for immuno-oncology and investigate the progression of breast cancer metastasis.

I successfully defended my Chemical Engineering Ph.D. dissertation, with distinction, on April 29th, 2014.

My dissertation research was focused on membrane proteins implicated in various forms of cancer progression. I developed spatial stochastic mathematical models to study how transmembrane protein kinetics and dynamics impact activation of signaling pathways in the cell. I also developed an algorithm to reconstruct cellular membrane confinement zones from Single Particle Tracking (SPT) data.

I received dual Bachelor degrees in Chemical Engineering (B.Ch.E.) and Quantitative Biology (B.S.) from the University of Delaware in 2010. While at the University of Delaware, my research focused on developing a deterministic multi-scale process model to aid in creating an online controller for MAb glycosylation.