Biography

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.

Interests

  • Quantitative Systems Pharmacology
  • Data Driven Network Biology
  • Dynamics of Complex and Multiscale Systems
  • Biological Control Theory
  • Drug Combination Synergy

Education

  • 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

Projects

Data Driven Mechanistic Modeling

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?

Multiscale Cell / Micro- environment Dynamics

Cells shape their environment, and their environment in turn shapes them. What dynamics can emerge from these feedbacks?

Cancer Control

Through mechanistic modeling, identify molecular drivers of therapeutic resistance and reprogram cancer cells toward drug-sensitive attractors.

Drug Synergy

How to identify, quantify, and understand synergistic interactions between drugs in combinations

Recent & Upcoming Talks

Contact

  • 104 Davey Lab Box 5, University Park, PA 16803
  • First floor Davey Lab. Office is 122.
  • Connect on LinkedIn