Hyunsun Lee is a statistics graduate faculty member for the new M.S. Option in Statistics at the Boston-area Newton Mount Ida campus of UMass-Amherst. She was a nominee for the 2021-22 Distinguished Teaching Award at UMass-Amherst. Prior to joining UMass, she was an Associate Professor at Hawaii Pacific University. She received the 2017 Golden Apple Award in the category of Excellence in Mentoring at Hawaii Pacific University.

**Education:**

- Postdoctoral Fellowship, Mathematics, Florida State University
- Postdoctoral Fellowship, Center for Simulation of Advanced Rockets, University of Illinois at Urbana-Champaign
- Ph.D., Applied Mathematics and Statistics, Stony Brook University
- B.S., M.S., Mathematics, Yonsei University, Seoul, South Korea
- Completion, Foreign Language Institute, Yonsei University, Seoul, South Korea

**Research:**

Dr. Lee’s research interest is focused on mathematical modeling and data analysis in practical problems, broadly encompassed in Statistics, Computer Science, Solid Mechanics, Acoustics and Fluid Dynamics. In her current research, she developed pre- and self-diagnostic models for a syndrome using machine learning techniques with her students. The other ongoing topic in Computer Science is to develop an optimized routing algorithm for wireless ad-hoc networks based on a stochastic branching process that is often used to assess the early stage of an infectious disease outbreak. She also has interdisciplinary research experience in other engineering fields throughout her career. In Acoustics, the source of aircraft noise in turbulent flow region near the nozzle tip was identified by investigating the underlying physics of sound generation mechanism. The sound source term of Lighthill's equation was decomposed into sub-terms and the sub-terms were correlated to the far-field sound to identify the sound source. It possibly brings a better understanding of noise control devices when the study is applied to different nozzle configurations. In the topic of Solid Mechanics, a classical theory, Hashin-Shtrikman variational principle, and its reformulations were applied to various heterogeneous particulate composites, such as rocket propellants, granular media etc. Optimized statistical tools were developed to capture more precise morphological information of the materials, based on the images that were from either computer simulation or micro-tomography. In Fluid Dynamics, Rayleigh-Taylor instability which occurs when a dense, heavy fluid is accelerated by a light fluid by gravity, penetrating into the other, followed by the development of a complex mixing layer, was studied for her dissertation. Closure models of averaged interfacial quantities were proposed and validated based on direct numerical simulations (DNS).

## Department of Mathematics and Statistics