John Marshall
استاد · Mathematical modeling of infectious diseases
University of California, Berkeleyمعرفی
John Marshall is a Professor in the Department of Biostatistics and Epidemiology at the School of Public Health, University of California, Berkeley. His research focuses on using mathematical models to inform novel genetics-based strategies for mosquito control and to support efforts to control and eliminate mosquito-borne diseases such as malaria, dengue, and Zika virus.
Dr. Marshall received his PhD in biomathematics from UCLA in 2008, with a dissertation on the use of GM mosquitoes to control malaria transmission. Prior to joining UC Berkeley, he worked on several aspects of this project as a PostDoc at the UCLA Center for Society & Genetics, the Malaria Research and Training Center in Mali, Caltech, and Imperial College London.
His research interests include mathematical modeling of infectious diseases, genetics-based strategies for mosquito control, malaria elimination, dengue control, Zika virus control, gene drive systems, and vector control. He has developed the Mosquito Gene Drive Explorer (MGDrivE), a framework for testing gene-drive releases for mosquito-borne diseases control that models inheritance matrices, life-history, and migration across spatial landscapes.
Dr. Marshall has secured significant funding for his research, including an $800,000 grant from the Bill & Melinda Gates Foundation in 2021 for genetics-based malaria mosquito control and an NIH grant in 2020 for mosquito movement and control research. He leads the Marshall Lab which collaborates with researchers from Tecnológico de Monterrey and IHME through the Mosquito Networks Taskforce (MoNeT).
His recent publications demonstrate interdisciplinary work spanning epidemiology, genetics, computational biology, and vector control, with a focus on gene drive systems, surveillance methods, and cost-effectiveness analyses for malaria elimination.
- $800,000 grant from the Bill & Melinda Gates Foundation (2021)
- NIH grant for mosquito movement and control (2020)
Dr. Marshall mentors numerous students and researchers including Héctor M. Sánchez C. (lead of MoNeT), Kevin Islas Abud, Luis Rodrigo Careaga Sotomayor, and others working on machine learning applications, network theory, and spatial analysis related to mosquito-borne diseases. He teaches courses PH 252B Modeling the dynamics of infectious disease processes and PH 295 Infectious disease modeling seminar at UC Berkeley.
