I am interested in bridging the gap between mathematical/computational models and biological data. My research focuses primarily on mathematical modeling and control of poorly constrained biological networks, drug combination synergy, and multiscale models coupling intracellular and environmental dynamics. I have developed and applied approaches and models toward understanding cancer control, plant signaling, and yeast growth.
I earned my PhD in Cancer Biology at Vanderbilt University under the guidance of Vito Quaranta, and am currently a postdoctoral scholar with Réka Albert in the Department of Physics at Pennsylvania State University.
PhD in Cancer Biology, 2018
Vanderbilt University
BS in Mathematics, 2008
New Mexico Institute of Mining and Technology
BS in Physics, 2008
New Mexico Institute of Mining and Technology
Mechanistic biological models are powerful tools from which to derive predictions. Extensive work is typical to manually curate and build such models. How can we leverage big data to accelerate this process?
Cells shape their environment, and their environment in turn shapes them. What dynamics can emerge from these feedbacks?
Through mechanistic modeling, identify molecular drivers of therapeutic resistance and reprogram cancer cells toward drug-sensitive attractors.
How to identify, quantify, and understand synergistic interactions between drugs in combinations