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), the Malaria Elimination Initiative (UCSF), worked as a consultant for David L. Smith (UW) in the software development of mosquito-transmitted diseases models, and was awarded one of the 2016 Google Research Awards in Latin America. Nowadays, his work focuses on modeling, simulating, and analyzing spatio-temporal aspects of CRISPR-based mosquito control interventions. He loves guitars, singing, Pusheen, DataViz, and programming!
Rodrigo Corder, PhD (he/him)
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.
Váleri Vásquez, MS (she/her)
Váleri Vásquez is a PhD candidate in the Energy and Resources Group with a Designated Emphasis in Computational Data Science and Engineering. Her doctoral work has focused on developing and applying mathematical models to examine the environmental drivers and economic impacts of infectious diseases, with a particular focus on the use of genetic-based public health interventions to control mosquito-borne illnesses. Concurrent with her PhD, Váleri is completing a second MS in Electrical Engineering and Computer Science. Her research has been recognized and supported by numerous fellowships, including from Microsoft Research, the Berkeley Institute for Data Science, and ACM SIGHPC/Intel. Prior to graduate school Váleri specialized in international and domestic climate policy at the Center for American Progress, the White House Council on Environmental Quality, and the U.S. Department of State, where she served on the senior team to shape the 2015 Paris Agreement. Váleri holds an MS in Energy and Resources from the University of California Berkeley and a BA in Literature from the College of William and Mary. In her spare time, Váleri advocates for marine conservation issues in the Southern Ocean and explores how art can be used to democratize data science methods and results. She also enjoys road cycling, and is always looking for new routes and riding partners!
Agastya Mondal, BS (he/him)
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.
Elijah Bartolome (he/him)
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.
Lillian is a sophomore studying Computer Science. She is currently working under the mentorship of Dr. Héctor Sanchez on the Mosquito Gene Drive Machine Learning Library. In her free time, Lillian enjoys cooking, swimming, and watching Netflix.
Ayden is a junior studying Data Science with an emphasis in Environment, Resource Management, and Society. He is particularly passionate about applying data science to topics in epidemiology, such as COVID-19 and other viruses. He is currently working on the Mosquito Gene Drive Machine Learning Library project under Héctor M. Sánchez C., PhD. He enjoys running, filmmaking, video editing, and hiking in his free time.
Xingli is a senior studying Bioengineering, and she is passionate about working at the intersection of biotech and data science. She is currently working on the Mosquito Gene Drive Machine Learning Library under Dr. Héctor Sanchez. Outside of school, she enjoys filmmaking and biking around the city with no particular destination.
Alan (Lingxiang) Hu
Alan is a junior studying Public Health. He is working on the close-kin mark-recapture project to characterize mosquito demography and movement patterns with Dr. John Marshall. In his free time, he enjoys playing basketball and reading manga and Chinese fiction.