Matthew Reyna, PhD, MS, is an assistant professor and vice chair for education and training in the Department of Biomedical Informatics at Emory University School of Medicine. Dr. Reyna serves as co-director of graduate studies for the Computer Science and Informatics Graduate Program at Emory University.
Dr. Reyna is a member of the Cell and Molecular Biology Research Program at Winship Cancer Institute of Emory University. He also serves on multiple committees and boards, including the Woodruff Health Educators Academy advisory committee, to support education and training at Emory University.
Education
Dr. Reyna earned his PhD and a Master of Science at Rensselaer Polytechnic Institute in Troy, New York. He also holds a Master of Science from Georgia Institute of Technology in Atlanta. He completed his postdoctoral training in computer science and computational biology at Brown University in Providence, Rhode Island, and at Princeton University in Princeton, New Jersey.
Titles & Roles
Assistant Professor, Department of Biomedical Informatics
Emory University School of Medicine
Research
Dr. Reyna's research addresses problems in health and healthcare by developing, applying, and analyzing algorithmic approaches to clinical and biological problems using large biomedical data. These methods combine mathematical and statistical models, computational and engineering techniques, and clinical and biological knowledge to provide robust, generalizable, and reproducible tools for clinical and biological problems while exploring the limitations and biases in existing approaches.
Dr. Reyna's research program focuses on developing algorithms for computational cancer genomics, where the rarity and heterogeneity of adverse events can frustrate early detection and personalized interventions. It also focuses on developing and supporting the development of clinically relevant machine learning models for unsolved clinical problems, including as part of the PhysioNet Challenges. These research areas are especially important for improving outcomes in populations that have historically been, and remain, underserved by clinical research, and they provide important opportunities for trainees in AI.
Z Koscova, Q Li, C Robichaux, VM Junior, M Ghanta, A Gupta, J Rosand, A Aguirre, S Hong, DE Albert, J Xue, A Parekh, R Sameni, MA Reyna, MB Westover, GD Cliford
S Das, Y Ge, Y Guo, S Rajwal, J Hairston, J Powell, D Walker, S Peddireddy, S Lakamana, S Bozkurt, M Reyna, R Sameni, Y Xiao, S Kim, R Chandler, N Hernandez, D Mowery, R Wightman, J Love, A Spadaro, J Perrone, A Sarker
