Mijin Kim

Mijin Kim
mkim445@gatech.edu

Mijin Kim is an assistant professor in the School of Chemistry and Biochemistry at Georgia Tech. Her research program is focused on the development and implementation of novel nanosensor technology to improve cancer research and diagnosis. The Kim Lab combines nanoscale engineering, fluorescence spectroscopy, machine learning approaches, and biochemical tools (1) to understand the exciton photophysics in low-dimensional nanomaterials, (2) to develop diagnostic/nano-omics sensor technology for early disease detection, and (3) to investigate biological processes with focusing problems in lysosome biology and autophagy. For her scientific innovation, Kim has received multiple recognitions, including being named as one of the STAT Wunderkinds and the MIT Technology Review Innovators Under 35 List.

Assistant Professor, School of Chemistry and Biochemistry
Google Scholar
https://scholar.google.com/citations?user=pik_YKcAAAAJ
https://chemistry.gatech.edu/people/mijin-kim

Yunan Luo

Yunan Luo
yunan@gatech.edu
CoC Faculty Profile Page

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Assistant Professor, Computational Science and Engineering
Additional Research
Deep learning Transfer learning Sequence and graph representation learning Network and system biology Functional genomics Cancer genomics AI-guided biological design and discovery
Google Scholar
https://scholar.google.com/citations?hl=en&user=N8RBFoAAAAAJ&view_op=list_works&sortby=pubdate