​Principal investigator

​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)

Mailing address:
School of Public Health,
2121 Berkeley Way #5302,
UC Berkeley, 
Berkeley, CA 94720-7360, USA

Phone: +1-510-664-4724
Office: 2121 Berkeley Way #5328
Email: john.marshall@berkeley.edu
Website: ​https://www.MarshallLab.com/​
Twitter: https://twitter.com/MarshallJohnM
​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.

Assistant project scientist

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!
​
​Email: sanchez.hmsc@berkeley.edu
Website: https://chipdelmal.github.io/blog/

​Postdocs

Yogita Sharma, PhD (she/her)

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.​
​
Email: yogita.sharma@berkeley.edu
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.

Email: rodrigo.corder@berkeley.edu
Eileen Jeffrey Gutiérrez, PhD (she/her)

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.
​
Email: ejg@berkeley.edu

Graduate students

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!

Website: https://vnvasquez.github.io​
Email: vnvasquez@berkeley.edu
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. 

Website: https://agastyamondal.com
Email: agastya_mondal@berkeley.edu
Natasha Harrison, BA (she/her)

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 mosquito surveillance data from French Polynesia. She eventually hopes to have a career in research. In her free time, Natasha enjoys going on hikes in Sonoma County with her family.

​​Email: natasha_harrison@berkeley.edu

Undergraduate students

Darpa Anireddy (she/her)
​
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.
​
Email: darpa.anireddy@berkeley.edu
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.
​
Email: ebartolome@berkeley.edu
Kendall Dimson (she/her)

Kendall is a junior studying Public Health. She is currently working on landscape analysis of the MGDrivE (Mosquito Gene Drive Explorer) under the mentorship of Dr. Héctor Sánchez. In her free time, Kendall enjoys kayaking, going on coffee runs, and taking care of her houseplants.
​
Email: kdimson@berkeley.edu
Lillian Weng

​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.
​
Email: lillianweng@berkeley.edu
Ayden Salazar

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.
​
Email: asalazar24@berkeley.edu
Xingli Yu

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.
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Email: xingliyu@berkeley.edu

Lab alumni

  • Gordana Rašić, PhD (QIMR Berghofer Medical Research Institute, Australia): Senior research officer, 2018-2021
  • Jared Bennett, PhD (UC Berkeley, PhD Biophysics & DE Computational Biology): PhD student, 2017-2021
  • Sanjay Lamba, PhD (Central University of Rajasthan, India): Tata Institute postdoc fellow, 2019-2021
  • Francois Rerolle, PhD (UCSF, PhD Epidemiology & Biostatistics): PhD student, 2016-2021
  • Chris De Leon (UC Berkeley, Computer Science major): Undergraduate researcher, 2020​-2021
  • Ashley Zhang (UC Berkeley, Computer Science & Statistics major): Undergraduate researcher, 2020-2021​
  • Ameek Bindra (UC Berkeley, Data Science & Human Biology major): Undergraduate researcher, 2020-2021
  • Sean Wu, PhD (UC Berkeley, PhD Epidemiology & DE Computational Biology): PhD student, 2015-2020
  • Tomás León, PhD (UC Berkeley, PhD Environmental Health Sciences): Postdoc, 2018-2020
  • Thien-An Ha (UC Berkeley, MPH Epidemiology & Biostatistics): MPH thesis student, 2019-2020
  • Hao Wang (UC Berkeley, MA Biostatistics): Graduate researcher, 2020
  • Priscilla Zhang (UC Berkeley, Chemistry & Data Science major): Undergraduate researcher, 2020​
  • Daniel López (UC Berkeley, Molecular & Cell Biology major): Undergraduate researcher, 2020​
  • Gillian Chu (UC Berkeley, Computer Science & Bioengineering major): Undergraduate researcher, 2018-2020
  • Maya Shen (UC Berkeley, Computer Science major): Undergraduate researcher, 2018-2020
  • Victor Ferman, PhD (Tecnológico de Monterrey, Mexico):  Postdoc, 2018-2019
  • Rodrigo Careaga (Tecnológico de Monterrey, Mexico, Computer Science major): Visiting graduate researcher, 2019​​
  • Yi Li (Ohio State University, Statistics major): Visiting undergraduate researcher, 2018-2019
  • Sarafina Smith (UC Berkeley, Computer Science major): Undergraduate researcher, 2018-2019
  • Yunwen Ji (McGill University, Canada, Computer Science & Biology major): Visiting undergraduate researcher, 2019
  • Sejal Mohata (SRM Institute of Science and Technology, India, Computer Sciences major): Undergraduate researcher, 2019
  • Joshua Yeung (UC Berkeley, Computer Science major): Undergraduate researcher, 2019​
  • Biyonka Liang (UC Berkeley, Statistics major): Undergraduate researcher, 2017-2019
  • Samson Kiware, PhD (Research Scientist, Ifakara Health Institute, Tanzania): Wellcome Trust postdoc fellow, 2015-2018
  • Benjamín Valdés Aguirre, PhD (Tecnológico de Monterrey, Mexico, Computer Science): Visiting teaching faculty, 2018​
  • Graham Northrup (UC Berkeley, PhD Computational Biology): Graduate researcher, 2018
  • Qinlong Jing, PhD (Sun Yat-sen University, China, PhD Epidemiology & Medical Statistics): Visiting graduate researcher, 2017-2018​
  • Partow Imani (UC Berkeley, PhD Biostatistics): Graduate researcher, 2017-2018
  • Suzanne Dufault (UC Berkeley, PhD Biostatistics): Graduate researcher, 2017-2018
  • Sabrina Wong (UC Berkeley, Applied Mathematics major): Undergraduate researcher, 2017-2018
  • Shaina Desai (UC Berkeley, Public Health major): Undergraduate researcher, 2017-2018
  • Aiden Baek (UC Berkeley, Public Health major): Undergraduate researcher, 2017-2018
  • Chloe Tarrasch (UC Berkeley, Statistics major): Undergraduate researcher, 2016-2017
  • Lina Montoya (UC Berkeley, MA Biostatistics): Graduate researcher, 2016
  • Jaclyn Guerrero (UC Berkeley, MPH Epidemiology & Biostatistics): MPH thesis student, 2015-2016
  • Hannah Sumiko Daly (UC Berkeley, Public Health major): Undergraduate researcher, 2015
  • Raíra Marotta (Escola Nacional de Ciências Estatísticas, Brazil, Statistics major): Visiting undergraduate researcher, 2015
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