David O’Gara
Working at the Intersection of Systems Science and Public Health
Bio
I am a PhD Student in the Division of Computational and Data Sciences at Washington University in St. Louis. My research interests are at the frontier of Systems Science and Public Health. I am interested in modeling, exploring, and intervening on complex dynamical systems to inform policy and decision-making. To that end, I design and build large-scale, detailed, computationally efficient agent-based models.
I am advised by Ross Hammond.
I completed my Bachelor’s degree in Systems Science and Engineering, and my Master’s in Systems Science and Mathematics at WashU in 2018. Before my PhD, I was an economic and health outcomes consultant at Analysis Group in Denver, Colorado, and Chicago, Illinois.
News
- February 6, 2025: Our Python package hetGPy has been published at the Journal of Open Source Software.
- January 15, 2025: Our paper, “Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics” is now available at the Journal of the Royal Society Interface.
- December 31, 2024: Our preprint, “Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study” is available on arXiv.
- September 12, 2024: Excited to share that our Python library for heteroskedastic Gaussian Process modeling hetGPy is available on github. Comments and feedback welcome.
- June 28, 2023: “A moment kernel machine for clinical data mining to inform medical decision making” has been published in Scientific Reports.
- April 28, 2023: Our work on TRACE-Omicron has been published in Advanced Theory and Simulations.
- January 19, 2023: Our preprint: TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States is now available on arXiv.
- May 25, 2022: Executive Summary of our work on TRACE-Omicron, an agent-based model of COVID-19 transmission and policy interventions.