About
I am an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC), a position I have held since Fall 2019. Prior to that, I served as an Assistant Professor at UMBC from 2013 to 2019.
Before joining UMBC, I was a postdoctoral fellow at the Mathematical Biosciences Institute at The Ohio State University from 2011 to 2013, where I worked with Prof. Avner Friedman. From 2008 to 2011, I held a postdoctoral position at the University of Minnesota, where I worked with Prof. Hans G. Othmer.
I received my Ph.D. in Mathematics from the University of Wisconsin–Madison in 2008, under the supervision of Prof. Thomas G. Kurtz.
Research interests
My research interests are applications of stochastic modeling, analysis, and simulation of reaction networks with applications to biological and biochemical processes including cancer and other metabolic diseases.
Teaching interests
I am interested in teaching courses in mathematical biology and applied probability for both undergraduate and graduate students.
Education
-
Ph D, Mathematics
— University of Wisconsin-Madison (2008) Multiple scaling methods in chemical reaction networks
- MA, Mathematics — University of Wisconsin-Madison (2004)
- BS, Natural Sciences — Yonsei University (2001)
Publications
- Inferring structure and parameters of stochastic reaction networks with logistic regression 2026
- Mechanistic insights into condensate formation of human liver-type phosphofructokinase by stochastic modeling approaches 2024
- Chemical systems with limit cycles 2023
- Separation of time-scales and model reduction for stochastic reaction networks 2013
- A mathematical model for microRNA in lung cancer 2013
Presentations
- A mathematical model for microRNAs in lung cancer 2013
- A mathematical model for microRNAs in lung cancer 2013
- A mathematical model for microRNAs in lung cancer 2013
- A mathematical model for microRNAs and EMT in lung cancer 2013
- Multiscale stochastic reaction-diffusion algorithms for biochemical networks 2013
- Multiscale stochastic reaction-diffusion algorithms for biochemical networks 2013
- Multiscale approximations in stochastic biochemical networks 2013
Grants and Contracts
- Collaborative Research: FRGMS: Stochastic Analysis of Autocatalytic Chemical Reaction Networks
Research in Progress
- Inferring Structure and Parameters of Stochastic Reaction Networks with Logistic Regression 2024
- Multiscale Approximation and Parameter Estimation in Stochastic Models of the Glycolytic Pathway 2024
- Fragility in a Togashi-Kaneko Stochastic Model with Mutations 2022
Courses Taught
- Introduction to Mathematical Modeling