Upcoming:
Sriram Pemmaraju // Computational Epidemiology for Healthcare-Associated Infections // 23 Mar 2023
You can find past seminars on our 
Comp Epi YouTube Channel!
Mami Taniuchi // Environmental surveillance for SARS-CoV-2 and Other Pathogens in Dhaka, Bangladesh, for Public Health Impact // 9 Mar 2023
Geoffrey Fox // AI Benchmarks and Time Series // 9 Feb 2023
Nita Madhav // Using Computational Epidemiology to Predict the Frequency and Scale of Future Epidemics // 12 Jan 2023
Natarajan Meghanathan // Neighborhood-based Bridge Node Centrality Tuple for Complex Network Analysis // 3 Nov 2022
Dave Higdon // Bayesian Model Calibration and Prediction Applied to (Stochastic) Agent-Based Models // 20 Oct 2022
Katriona Shea // Uncertainty and the Management of Outbreaks: Harnessing the Power of Multiple Models // 25 Aug 2022
Sandeep Juneja // Shift, Scale and Restart Smaller Models to Estimate Larger Ones: Agent-based Simulators for Modeling COVID // 14 Jul 2022
Lauren Marks, Sunny Sharma, Rebecca West, & Kenneth Davis // Increasing COVID Vaccine Uptake in Sub-Saharan Africa: A Multidisciplinary Approach // 23 Jun 2022
Ramesh Raskar // Waze-like App for Pandemic Journey // 25 May 2022
Eili Klein, Justin Crow, & Li Xiong // Reflections on COVID & Epidemiology Research // 24 May 2022
Cecile Viboud // Direct and Indirect Consequences of the COVID-19 Pandemic: a Natural Experiment // 24 May 2022
Jeff Townsend // Quarantine and Testing Strategies to Ameliorate Transmission due to Travel During a Pandemic // 12 May 2022
Samarth Swarup // A Framework for Modeling Complex Human Behaviors in Epidemic Simulations // 14 Apr 2022
Richard Hatchett // Two Years Before the Mast: Reflections on the Late Pandemic // 24 Mar 2022
David Swerdlow // Role of Modeling During Epidemic Responses- View From Public Health, Industry, and Academia // 10 Mar 2022
Arnaud Bataille // Presentation of the EU Project Livestock Disease Surveillance Knowledge Integration (LIDISKI) // 10 Feb 2022
Alessandro Vespignani // Computational Epidemiology at the time of COVID-19 // 27 Jan 2022
Steven Zeichner // Towards Rapid Vaccine Development & Deployment // 18 Nov 2021
Simon Levin // COVID-19 and Challenges to the Classical Theory of Epidemics // 4 Nov 2021
Maimuna (Maia) Majumder // Machine Learning Research Applications During the COVID-19 Pandemic // 21 Oct 2021
Chadi Saad-Roy // Modeling SARS-CoV-2 immuno-epidemiological dynamics // 7 Oct 2021
Rebecca Powell Doherty // Immunopeptidomics: A Personalized Medicine Approach to Antigen Discovery, Characterization, and Treatment of Autoimmune Inflammatory Disease // 23 Sep 2021
Aniruddha Adiga // All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting // 9 Sep 2021
Judy Fox // HySec-Flow: Privacy-Preserving Hybrid Computer Model // 26 Aug 2021
Aravind Srinivasan // Controlling Epidemic Spread through Stochastic Networks // 12 Aug 2021
Mark Orr // Behavior Matters, Whatever Next: Computational Psychology for Computational Epidemiology // 8 July 2021
Stephen Eubank // Perturbative approximations to stochastic satisfiability problems // 22 Apr 2021
Anuj Mubayi // Ecological Complexity, Thresholds, and Risk Tradeoff in the Dynamics of Neglected Vector Borne Diseases // 8 Apr 2021
Jiangzhuo Chen // Efficient Vaccination in a Volatile Pandemic // 25 Mar 2021
Natarajan Meghanathan // A Novel Approach to Quantify the Intra-Cluster Density of the Blocking Cluster of a Complex Network // 11 Mar 2021
Rajesh Sundaresan // Optimal design of serosurveys for disease burden estimation // 25 Feb 2021
Wilfred Ndifon & Lavanya Singh // Searching for COVID-19 patients in a hypercube // 11 Feb 2021
Jeff Townsend // Optimal COVID-19 quarantine and testing strategies // 28 Jan 2021
Anil Vullikanti // Controlling epidemics on networks: a game theoretical perspective // 14 Jan 2021
Xinwei Deng // Modeling and Active Learning for Experiments with Quantitative-Sequence Factors // 19 Nov 2020
Jure Leskovec & Serina Chang // Mobility network models of COVID-19 explain inequities and inform reopening // 5 Nov 2020
Ramanan Laxminarayan // Epidemiology and Transmission Dynamics of COVID-19 in two Indian States // 24 Sep 2020
Jeff Townsend // The duration of immunity following COVID-19 infection // 10 Sep 2020
Kathleen Alexander // Transforming Landscapes and the Ecology of Scale - Understanding Disease Emergence at the Human-Wildlife-Environmental Interface // 27 Aug 2020
Naren Ramakrishnan // Automatic Extraction of Epidemiological Line Lists for Open Sources // 13 Aug 2020
B. Aditya Prakash // Deep Learning Data-driven Approaches for Epidemic Forecasting // 23 Jul 2020
Abhishek Pandey & Alison Galvani // Projecting hospital utilization and assessing implications of silent transmission during the COVID-19 outbreak in the United States // 9 Jul 2020
Rita Colwell // Climate, Oceans, and Human Health: Cholera as a Paradigm for Predicting Infectious Diseases // 25 Jun 2020
Simon Levin & Dylan Morris // Optimal, near-optimal, and robust epidemic control // 11 Jun 2020
Ann Li, UVA & George Li UMD // Best Student Paper prize from AAMAS 2022 // Feb 2022
Hayley Hassler, Yale // The durability of immunity against reinfection by SARS-CoV-2: a comparative evolutionary study // Aug 2021
Carlos Bustamante & Jordy Cevallos, Arizona State // Mobility impact in the spreading of COVID-19 in Ecuador // May 2021
Serina Chang, Stanford // Mobility network models of COVID-19 explain inequities and inform reopening // Oct 2020 // Feb 2021
Jacob Ritchie, Stanford // Crowdsourcing County-level COVID-19 Policy Data & Lijing Wang, UVA // Interplay of global multi-scale human mobility, social distancing, government interventions and COVID-19 dynamics // 24 Jun 2020
Henry Carscadden, UVA // 2021 CS Louis T. Rader Undergraduate Research Award Winner // Jun 2020
Luka Gabitsinashvili, UVA // COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information // Mar 2023
You can find more seminars on our NSF PREPARE YouTube Channel!
Contact
For queries about our research or to be notified about upcoming seminars, please contact [email protected]!
