Bio
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.
Recent Publications
- Detection of bladder contractions from the activity of the external urethral sphincter in rats using sparse regression
- Estimating intratumoral heterogeneity from spatiotemporal data
- The Prohorov Metric Framework and aggregate data inverse problems for random PDEs
- Simple multi-scale modeling of the transmission dynamics of the 1905 plague epidemic in Bombay
- Traveling waves of a go-or-grow model of glioma growth
- Automated object tracing for biomedical image segmentation using a deep convolutional neural network