John M. Marshall, PhD (he/him)
Associate Professor in Residence
Divisions of Biostatistics & Epidemiology
School of Public Health
Innovative Genomics Institute
Center for Computational Biology
University of California, Berkeley (which sits on the territory of xučyun, the ancestral and unceded land of the Chochenyo Ohlone people)
School of Public Health,
2121 Berkeley Way #5302,
Berkeley, CA 94720-7360, USA
Office: 2121 Berkeley Way #5328
Google Scholar: https://scholar.google.com/citations?user=aG77NyAAAAAJ&hl=en
Current CV: JohnMarshallCV.pdf
John received his PhD in biomathematics from UCLA in 2008 writing his dissertation on the use of gene-edited mosquitoes to control malaria transmission. Prior to joining UC Berkeley, he worked on several aspects of this project as a postdoc - social, cultural and regulatory issues at the UCLA Center for Society & Genetics, ecological field work at the Malaria Research and Training Center in Mali, molecular biology and population genetics at Caltech, and infectious disease modeling and epidemiological field work at Imperial College London. Here at UC Berkeley, he teaches two courses on mathematical modeling of infectious diseases and consults on this field generally. His own research focuses on the use of 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 broadly.
Héctor M. Sánchez C., PhD
Héctor received his BSc in 2009 in Mechatronics Engineering and his PhD in 2017 in Computer Science at Tecnológico de Monterrey, México. In the past he collaborated in animal vocalizations research with Charles Taylor (UCLA), and the Malaria Elimination Initiative (UCSF). He was awarded one of the 2016 Google Research Awards in Latin America to work on predicting Zika epidemics through the use of social networks; and worked as a consultant for Dr. David L. Smith (UW) in the development of a framework for epidemiological simulations. His work focuses on the creation and use of computational individual-based models to contain and eliminate mosquito-borne diseases. He joined the Marshall Lab in July, 2017. He loves guitars, singing, Pusheen and FPV quadcopters... oh yeah... and programming!
Yogita Sharma, PhD
Yogita received her MSc in 2010 in Mathematics from Panjab University. She recently obtained her PhD in Mathematical Biology from the Department of Mathematics at the Indian Institute of Technology, Ropar. She is mainly interested in mathematical modeling of gene drive systems in insect populations. Her research focuses on understanding regime shifts in bistable biological systems, which includes occurrence of sudden, catastrophic and often irreversible shifts from one state to another. The majority of her work is based on the analysis of regime shifts using early warning signals considering mathematical models of different types of stochastic bistable biological systems. Examples include models of gene expression and ecological models of insect outbreaks in the presence of diverse stochastic environments. She joined the Marshall Lab in April, 2018.
Rodrigo Corder, PhD
Rodrigo earned a BS in Electrical Engineering from the University of São Paulo (Brazil), an Erasmus Mundus Joint MSc in Mathematical Modeling in Engineering from the University of L’Aquila (Italy), University of Hamburg (Germany) and Autonomous University of Barcelona (Spain) - The MathMods Consortium - and a PhD in Biology of Host-Pathogen Interactions from the University of São Paulo. His PhD thesis, which was partly carried out at the Liverpool School of Tropical Medicine (UK), focused on mathematical and statistical modeling of malaria transmission in the Amazon Basin accounting for the local risk heterogeneity and aimed to provide evidence for the rational deployment of control interventions and elimination. He joined the Marshall Lab in July, 2021 and now his work focuses on the development of mathematical models to inform novel genetics-based strategies for mosquito-borne diseases control and elimination.
Eileen Jeffrey Gutiérrez, PhD
Eileen got her BSc in Microbiology and her PhD in Entomology at the University of Arizona. Her doctoral work focused on surveillance methods for Aedes aegypti at a geographic range-edge of dengue transmission. In 2017, Eileen worked with the Pacific Island Health Officers Association as a part of the response to Zika virus outbreaks in the Americas to improve national mosquito surveillance programs in several US-affiliated Pacific Island Nations and Territories including the Republic of the Marshall Islands, the Federated States of Micronesia, American Samoa, and Guam. Before joining the Marshall Lab, Eileen worked with UCSF’s Malaria Elimination Initiative to pilot the Entomological Surveillance Planning Tool in the indigenous province of Guna Yala in the Republic of Panama. With the Marshall Lab, Eileen will be working on adapting mosquito surveillance systems and infectious disease models for monitoring releases of genetically-modified and Wolbachia-infected mosquitoes into the field.
Gordana Rašić, PhD
Gordana received her MSc in biology in 2005 from the University of Belgrade (Serbia) working on Drosophila population genetics, and her PhD in biology in 2011 from the University of Western Ontario (Canada) where she built an empirical model system in Landscape Genetics using pitcher plant insects. Since 2012, her work has been focused on the development of molecular and bioinformatics tools and analytical frameworks for the implementation of innovative vector control strategies, such as Wolbachia-based suppression of arboviral diseases transmitted by Aedes mosquitoes. Gordana has established mosquito population genomics/bioinformatics platforms within two Australian research institutions (University of Melbourne and QIMR Berghofer) and she leads this research component on several international collaborative projects within the Mosquito Control Laboratory at QIMR Berghofer, as well as advises projects in France, Singapore and Spain. With Dr. Marshall, Gordana is devising robust approaches for inferring mosquito dispersal patterns and their impact on innovative vector control strategies in different landscapes.
Váleri Vásquez, MS
Váleri Vásquez is a PhD student with the Energy and Resources Group, a Moore/Sloan Fellow at the Berkeley Institute for Data Science, and a former research scholar in the Renewable and Appropriate Energy Laboratory. Váleri’s research interests include the use of computational models to examine the environmental drivers and economic impacts of infectious diseases. She is currently studying questions relevant to the use of gene drive systems for malarial control. Prior to graduate school, Váleri focused on international and domestic climate change issues at the U.S. Department of State, the Center for American Progress, and the White House Council on Environmental Quality. In addition, she served as primary advisor to the co-chair of the United Nations negotiations that culminated in the Paris Agreement on climate change in 2015. Váleri received her MS from the University of California, Berkeley and her BA from the College of William and Mary.
Agastya Mondal, BS
Agastya Mondal is a doctoral student in the department of Epidemiology. He received his BS in Biomedical Engineering and Applied Mathematics from Johns Hopkins University in 2016, after which he worked in a variety of software engineering roles in the biotech and humanitarian aid sectors. At Berkeley, he is interested in the intersection of computation, mathematics, and public health, hoping to apply heterogeneous stochastic models, graph theory, and statistical methods to better inform infectious disease dynamics. He also hopes to use these insights to analyze and guide epidemiological policy. A native East Coaster, he enjoys arguing about regional foods, film photography, collecting records, and paying too much for coffee.
Natasha Harrison, BA
Natasha is a current MPH student studying Epidemiology/Biostatistics with a concentration in Data Science. She is currently working on statistically analyzing malaria surveillance data from São Tomé and Príncipe, and eventually hopes to have a career in research. In her free time, Natasha enjoys going on hikes in Sonoma County with her family.
Darpa is a sophomore studying public health and education. She is currently working on tracking and analyzing the changes in malaria cases and rates under the mentorship of Dr. Tomás León. In her free time, Darpa enjoys cooking, traveling with her family, and playing with her dog at the beach.
Elijah graduated from UC Berkeley with a BA in Computer Science in 2021. He is currently working on Machine Learning regression and classification models for mosquito gene drive datasets with Dr. Héctor Sánchez. When he wants to take a break, Elijah likes to take walks, watch anime, and go to arcades to play some dancing games for fun.