About Me: I am a Zassenhaus (Visiting) Assistant Professor in the Department of Mathematics at Ohio State University. I received my PhD in Applied Mathematics at the University of Washington advised by Eric Shea-Brown. I completed a postdoctoral fellowship at New York University working with John Rinzel in the Center for Neural Science and Courant Institute of Mathematical Sciences. I was awarded predoctoral and postdoctoral fellowships from the NIH / NIDCD to support these research and training activities.
Research Interests: Mathematical and computational neuroscience, typically with applications to auditory neuroscience. Questions that interest me include: How do dynamical and stochastic mechanisms affect sensory encoding at the cell and network level? And how do they impact auditory perception? I enjoy collaborating widely (neuroscientists, biomedical engineers, physicians, etc). I study cochlear implants as a compelling example of how theoretical advances can lead to quality-of-life improvements for individuals with hearing impairments. I also work with in vivo and in vitro physiologists to find innovative ways to use mathematical and computational modeling to elucidate complicated neural data sets. The mathematical methods I use in my research include dynamical systems, partial differential equations, stochastic differential equations, point process theory, and numerical simulations.
Teaching: I am teaching Math 2173 (Engineering Mathematics B) in Spring 2017. For students enrolled in the course: Information is available on the Carmen course page.