Jake Chen, PhD
Disclosures: Co-Founder of the company-Medeolinx, LLC and affiliate entities

A Brief Biography of Prof. Jake Y. Chen

Dr. Jake Y. Chen is the Associate Director and Chief Bioinformatics Officer of the UAB Informatics Institute, a Professor of Genetics, Computer Science, and Biomedical Engineering, and Chief of the Informatics Section of the UAB Department of Genetics. He is an elected fellow of the American College of Medical Informatics (ACMI) and the current President-elect of the Midsouth Computational Biology and Bioinformatics Society (MCBIOS). Before joining UAB, Dr. Chen was the founding director of the Indiana Center for Systems Biology and Personalized Medicine at Indiana University and a tenured faculty member at Indiana University School of Informatics and Purdue University Computer Science Department. He holds a BS degree in Biochemistry and Molecular Biology from the Peking University of China and MS/PhD degrees in Computer Science and Engineering from the University of Minnesota at Twin Cities.

Dr. Chen has over 20 years of research and development experience in biological data mining, systems biology, and translational informatics in both Academia and the industry. He has over 150 peer-reviewed publications and presented worldwide on topics related to biocomputing, bioinformatics, and data sciences in life sciences and has given more than 200 talks worldwide. He serves on the editorial boards of BMC Bioinformatics and Journal of American Medical Informatics Association (JAMIA), and numerous study sections for the National Cancer Institute, National Library of Medicine, Department of Defense, and the American Heart Association.

Dr. Chen’s contribution to the field of computational biology and bioinformatics was highly recognized. He was cited as one of “17 Informatics Experts Worth Listening To” by HealthTechTopia (2011), a grand-prize winner of the “Cancer Cell Drug Discovery Grand Challenge” by Innocentive.com (2012), three-time finalist as “Indiana’s Technology Educator of the Year” award by TechPoint (2012-14), and recently as one of the “Top 100 AI Leaders in Drug Discovery and Healthcare” by Deep Knowledge Analytics (2019).