I am a physician-scientist currently serving as a Medical Officer and Data Analyst at the Division of Infectious Disease Prevention, Texas Department of State Health Services. Additionally, I continue to work clinically a few days a month as a combined Internal Medicine and Pediatric Hospitalist at Baylor Scott and White Health Round Rock and McLane Children’s Hospital where I was previously a full time combined hospitalist.
My research focuses on analyzing viral genome data and forecasting infectious disease outbreaks, with a particular emphasis on leveraging machine learning techniques to predict outbreaks of Influenza and Dengue viruses. I collaborate with teams from Northeastern University, Harvard School of Public Health, and previously Johnson & Johnson on influenza hospitalization forecasts for the CDC’s FluSight project and Dengue outbreak forecasts across multiple countries.
Previously, I was an Instructor at Harvard Medical School and a combined Internal Medicine and Pediatric Hospitalist at Beth Israel Deaconess Medical Center and Boston Children’s Hospital. I completed a combined residency in Internal Medicine and Pediatrics at The Ohio State University and Nationwide Children’s Hospital where I concurrently completed an HIV Medicine certification and an advanced competency in Global Health.
During my graduate and postdoctoral studies, I investigated viral evolution, protein molecular evolution, and protein structural biology. I hold a PhD in Computational Biochemistry from the University of Texas at Austin, an MD from Texas Tech University Health Sciences Center, and three master’s degrees in Analytics, Public Health, and Biotechnology respectively.
My broad interests include data science, inpatient medicine, infectious diseases, evolution, epidemiology, statistics, and health informatics. I am passionate about applying mathematical modeling and statistical learning to tackle diverse problems. I also enjoy teaching biostatistics and data science, especially in areas where data and methods can clarify ambiguous clinical reasoning.
To learn more about my research, teaching materials, and other projects, please explore the rest of my site and visit my GitHub.
Follow me on Twitter @austingmeyer.
