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Principal investigator
John M. Marshall, PhD (he/him) 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) Honorary Professor Department of Statistics University of Auckland, Aotearoa/New Zealand 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: [email protected] 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 is a mathematical biologist with expertise in infectious disease modeling and the use of genetics-based strategies to control mosquito disease vectors. He is PI of a Bill & Melinda Gates Foundation grant to provide modeling support for mosquito genetic control strategies for malaria elimination, and of an NIH project to develop landscape genomic methods to better quantify movement patterns of Aedes aegypti mosquitoes. He serves as modeling lead for the UC Malaria Initiative, which is exploring the use of gene drive systems to control Anopheles gambiae, the main African malaria vector, and is a key collaborator of the Akbari Lab at UC San Diego, which is developing a range of genetics-based tools to control Aedes and Anopheles disease vectors. His research group at the UC Berkeley School of Public Health specializes in modeling of mosquito vectors and the diseases they transmit. Prior to joining UC Berkeley, he worked at the UCLA Institute for Society and Genetics, the Malaria Research and Training Center in Mali, the Division of Biology and Biological Engineering at Caltech, and the MRC Center for Global Infectious Disease Analysis at Imperial College London.
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Assistant project scientist
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Prateek Verma, PhD
Prateek earned his integrated BS-MS and PhD in Physics from IISER-Kolkata, studying evolutionary game theory in social systems and microbial community coexistence. He completed postdoctoral research at the Max Planck Institute for Evolutionary Biology, modeling synthetic gene drive population dynamics, and led the development of DrMxR (Drive Mixer) to aid educators and regulators in understanding gene drive dynamics. He also worked on optimal control theory for ecological-economic systems as a postdoc at the University of Oldenburg. Since joining the Marshall Lab in October 2024, Prateek has focused on developing mathematical models and computational tools for the genetic control of mosquito vectors and the diseases they transmit. In his free time, he enjoys reading, coding, sketching, and meditating. Email: [email protected] |
Postdocs
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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: [email protected] |
PhD students
Shuyi Yang, MA
Shuyi Yang is a PhD student from the Biostatistics program at UC Berkeley. She graduated from UC San Diego with a BS degree in Data Science and a minor in Biology in 2018. She is currently working on the Close-kin mark-recapture (CKMR) project under the supervision of Dr. Marshall. She has research experience in mathematical modeling of infectious diseases including COVID-19 and HIV. She also has academic interests in biomedical data science, machine learning, and causal inference. During her leisure time, she enjoys hiking, rock-climbing, and snowboarding. Email: [email protected] |
Victor Mero, MSc
Victor Mero is a PhD student at UC Berkeley, with research interests in infectious disease modeling, particularly vector-borne diseases. Prior to joining UC Berkeley, Victor was a Data Scientist at Ifakara Health Institute (IHI), where he supported the National Malaria Control Program in Tanzania. He holds an MSc in Information and Communication Science from the Nelson Mandela African Institution of Science and Technology (NM-AIST). Beyond his academic pursuits, Victor enjoys fitness and spending time with family and friends. Email: [email protected] |
Lab alumni
Postdocs & senior personnel:
- Héctor M. Sánchez C., PhD: Postdoc/Project Scientist (2017-2024) → Research Scientist, California Department of Public Health, California
- Rodrigo Corder, PhD: Postdoc (2021-2023) → Assistant Professor, University of São Paulo, Brazil
- Eileen Jeffrey Gutiérrez, PhD: Postdoc (2021-2023) → Field Operations Manager, Oxitec Ltd., Panama
- Yogita Sharma, PhD: Postdoc (2018-2022) → Fields Institute Scholar, University of Victoria, Canada
- Sanjay Lamba, PhD: Postdoc (2019-2021) → Research Scientist, Tata Institute for Genetics and Society, India
- Gordana Rašić, PhD: Senior Research Officer (2018-2021) → Mosquito Genomics Team Lead, QIMR Berghofer Medical Research Institute, Australia
- Tomás León, PhD: Postdoc (2018-2020) → Modeling Team Lead, California Department of Public Health, California
- Victor Ferman, PhD: Postdoc (2018-2019) → Senior Data Scientist, BASF, Germany
- Samson Kiware, PhD: Wellcome Trust Postdoctoral Fellow (2015-2018) → Principal Research Scientist, Ifakara Health Institute, Tanzania
- Agastya Mondal, PhD: Epidemiology PhD student (2020-2024) → Data Scientist, Centers for Disease Control and Prevention, Georgia
- Váleri Vásquez, PhD: Energy & Resources Group PhD student (2018-2023) → Biotechnology Innovation and International Security Fellow, Stanford University, California
- Jared Bennett, PhD: Biophysics PhD student (2017-2021) → Data Scientist, Mobius Logic Inc., Virginia
- Francois Rerolle, PhD: UCSF Epidemiology & Biostatistics PhD student (2016-2021) → Postdoc, Proctor Foundation, UCSF, California
- Sean Wu, PhD: Epidemiology PhD student (2016-2020) → Research Scientist, Institute for Health Metrics & Evaluation, University of Washington, Washington
- Qinlong Jing, PhD: Visiting Epidemiology & Medical Statistics PhD student (2017-2018) → Research Scientist, Guangzhou Center for Disease Control and Prevention, China
- Shuyi Yang: Biostatistics MA thesis student (2023-2024)
- Emma Lonstrup: Epidemiology & Biostatistics MPH thesis student (2022-2024)
- Alan Hu: Emerson Collective Summer Fellowship student (2022)
- Natasha Harrison: Epidemiology & Biostatistics MPH thesis student (2020-2022)
- Darpa Anireddy: Public Health Honors thesis student (2020-2022)
- Reine Ngnonsse: Biology Scholars Fellowship student (2021)
- Kendall Dimson: Biology Scholars Fellowship student (2021)
- Ameek Bindra: Data Scholars Fellowship student (2020-2021)
- Thien-An Ha: Epidemiology & Biostatistics MPH thesis student (2019-2020)
- Biyonka Liang: Statistics Honors thesis student (2017-2019)
- Sean Wu: Epidemiology & Biostatistics MPH thesis student (2015-2016)
- Jaclyn Guerrero: Epidemiology & Biostatistics MPH thesis student (2015-2016)
- Raíra Marotta: Brazil Scientific Mobility Summer Fellowship student (2015)
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