Uploaded June 2025 | Updated September 2026, 2 weeks ago
#biocomplexity #agentbasedmodeling #complexity #data
In this video, I talk to Samarth Swarup about his work at the Biocomplexity Institute at University of Virginia. He discusses biocomplexity, agent-based modeling, and applying AI and machine learning to his research.
Dr. Samarth Swarup is a Research Associate Professor in the Biocomplexity Institute at the University of Virginia. He earned his PhD in Computer Science from the University of Illinois at Urbana-Champaign in 2007. He works on problems at the intersection of public health, urban analytics, and artificial intelligence. He develops large-scale agent-based models and machine learning methods for the study of topics including infectious disease epidemiology, environmental effects on health, and disaster response. His work has been funded through grants from NSF, NIH, NASA, DOE, DARPA, and DTRA, and has won several awards, including first place in the 2016 NIEHS Climate Change and Environmental Exposures Challenge.
#biocomplexity #agentbasedmodeling #complexity #data
In this video, I talk to Samarth Swarup about his work at the Biocomplexity Institute at University of Virginia. He discusses biocomplexity, agent-based modeling, and applying AI and machine learning to his research.
Dr. Samarth Swarup is a Research Associate Professor in the Biocomplexity Institute at the University of Virginia. He earned his PhD in Computer Science from the University of Illinois at Urbana-Champaign in 2007. He works on problems at the intersection of public health, urban analytics, and artificial intelligence. He develops large-scale agent-based models and machine learning methods for the study of topics including infectious disease epidemiology, environmental effects on health, and disaster response. His work has been funded through grants from NSF, NIH, NASA, DOE, DARPA, and DTRA, and has won several awards, including first place in the 2016 NIEHS Climate Change and Environmental Exposures Challenge.
