I joined the department of Applied Mathematics at UC Merced in July, 2019. Before that, I was a postdoctoral scholar at North Carolina State University. I received my B.Sc. from the University of Michigan in 2009 in Applied Mathematics and Japanese. I then worked for several years as a Research Technician at the Center for Radiative Shock Hydrodynamics in the Atmospheric Oceanic and Space Sciences Department at the University of Michigan. I obtained a PhD in Applied Mathematics from Arizona State University in 2016.
My research interests include mathematical biology -- specifically disease modeling, physiological modeling, and ecotoxicology. I use techniques from a broad range of mathematical disciplines including machine learning.
- Stoichiometric Ecotoxicology for a Multisubstance World
- Learning equations from biological data with limited time samples
- A tutorial review of mathematical techniques for quantifying tumor heterogeneity
- Learning partial differential equations for biological transport models from noisy spatio-temporal data
- A nondegenerate convective-reaction-density-dependent diffusion model of in vitro glioblastoma tumor growth
- A convolutional neural network method for boundary optimization enables few-shot learning for biomedical image segmentation