Myungjin Lee, Ph.D.
About Myungjin Lee, Ph.D.
Myungjin Lee, Ph.D., is a NIH Research Fellow at the National Institutes of Health, specializing in ion channel proteins and computational chemistry. He earned his Ph.D. in Chemistry from the University of Southern California and has held various research and teaching positions in academia.
Work at National Institutes of Health
Myungjin Lee, Ph.D., has been serving as an NIH Research Fellow at the National Institutes of Health since 2019. Located in Bethesda, Maryland, Lee conducts research under the guidance of Dr. Peter Kwong and Dr. Gwo-Yu Chuang at the Vaccine Research Center. The focus of his research includes the study of ion channel proteins, specifically Kv1.2, utilizing Coarse Grained models and Monte Carlo simulations.
Education and Expertise
Myungjin Lee earned a Bachelor of Science in Chemistry from Sookmyung Women's University, completing his studies from 2008 to 2012. He continued his education at the same institution, achieving a Master of Science in Physical Chemistry from 2012 to 2014. Lee further advanced his studies at the University of Southern California, where he obtained a Doctor of Philosophy in Chemistry, with concentrations in Computational Chemistry, Biophysics, and Theoretical Chemistry, from 2014 to 2019. He also studied Data Informatics at USC from 2017 to 2018.
Previous Research Experience
Before joining the National Institutes of Health, Myungjin Lee gained extensive research experience. He worked as an Undergraduate Research Assistant and later as a Graduate Research Assistant at Sookmyung Women's University from 2011 to 2014. At the University of Southern California, he served as a Teaching Assistant for nine months in 2014 and continued as a Graduate Research Assistant until 2019. His research included homology modeling of the membrane protein Hv1.
Research Focus and Methodologies
Myungjin Lee's research primarily focuses on ion channel proteins, employing advanced methodologies such as Coarse Grained models and Monte Carlo simulations. His work on Kv1.2 involves detailed computational approaches to understand the behavior and characteristics of these proteins. This research contributes to the broader field of biophysics and computational chemistry.