Jeon Lee, Ph.D. (Principal Investigator) Since December 2020, Jeon Lee has been appointed as an Assistant Professor in the Lyda Hill Department of Bioinformatics. He received his Ph.D. in Biomedical Engineering from Yonsei University in South Korea (1999–2006), where he trained as a medical device developer and innovator with biomedical signal processing and machine learning (ML) expertise. He did his 1st post-doc training in the Chronic Disease Informatics Program (PI: Joseph Finkelstein, M.D., Ph.D.) at Johns Hopkins School of Medicine (2013-2014). Subsequently, he studied and developed seminal computational algorithms for big data mining while working as a post-doc and later as an Assistant Research Scientist (parallel to Assistant Professor) for the Department of Computer Science and Electrical Engineering (PI: Seung-Jun Kim, Ph.D.) at the University of Maryland, Baltimore County (2014-2015). He joined UT Southwestern Medical Center as a Computational Biologist in 2016 and led the machine learning team at the Bioinformatics Core Facility from 2018 to 2020. Krishna Kanth Chitta, M.S. (Computational Scientist) Krishna received his BS in Biomedical Engineering at Vellore Institute of Technology in Vellore, India and an MS in Biomedical Engineering from Arizona State University. He is formally trained in medical image analysis, deep learning, and computer vision with special emphasis on physics and clinical applications of MRI. After his Master’s, he worked as Senior Research Officer at Agency for Science Technology and Research (A*STAR) in Singapore for 3 Years. He has experience in developing methods for detecting and quantitating structures/lesions in MRI datasets, fluorescence microscopy images, and colonoscopy videos. He is currently developing machine learning algorithms including advanced convolutional neural networks to solve challenges in multi-modal medical image analysis.