Summary
Austin Meyer is a physician-scientist and Assistant Professor combining dual-board clinical practice in Internal Medicine and Pediatrics with advanced work in infectious disease modeling and public health. With an MD/PhD and multiple graduate degrees (MS Analytics, MPH, MS Biotechnology), he builds machine learning and time-series forecasts for dengue and influenza that have informed CDC FluSight efforts and public health decision-making. He teaches bedside medicine and quantitative epidemiology to residents and medical students, serves as a statistical editor for Pediatrics Open Science, and has held faculty roles at Harvard and Baylor. Formerly an Infectious Disease Medical Officer for the Texas DSHS, he bridges clinical care, policy, and data science to translate models into actionable surveillance and trial support. Notably, his background in physics and computational biology fuels a quantitative approach to viral evolution and outbreak forecasting that complements hands-on pediatric and adult hospitalist experience.
14 years of coding experience
Residency in Pediatrics, Residency in Pediatrics at Nationwide Children's Hospital
Doctor of Medicine (MD) Medicine, Doctor of Medicine (MD) Medicine at Texas Tech University Health Sciences Center
Master of Public Health (MPH) Public Health Leadership, Master of Public Health (MPH) Public Health Leadership at UNT Health Science Center
Bachelor of Science (BS) Physics and Mathematics, Bachelor of Science (BS) Physics and Mathematics at Texas Tech University
Doctor of Philosophy (PhD) Biochemistry Computational Biology, Doctor of Philosophy (PhD) Biochemistry Computational Biology at The University of Texas at Austin
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Residency in Internal Medicine, Residency in Internal Medicine at The Ohio State University