|
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
|
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 |
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 |
Undergraduate students
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 |
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. Email: xingliyu@berkeley.edu |
|
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. Email: alanlingxianghu@berkeley.edu |
Lab alumni
Postdocs & senior personnel:
- Eileen Jeffrey Gutiérrez, PhD (University of Arizona, USA): Postdoc, 2021-2023
- Yogita Sharma, PhD (Indian Institute of Technology, Ropar, India): Postdoc, 2018-2022
- Sanjay Lamba, PhD (Central University of Rajasthan, India): Tata Institute postdoc fellow, 2019-2021
- Gordana Rašić, PhD (QIMR Berghofer Medical Research Institute, Australia): Senior research officer, 2018-2021
- Tomás León, PhD (UC Berkeley, PhD Environmental Health Sciences): Postdoc, 2018-2020
- Victor Ferman, PhD (Tecnológico de Monterrey, Mexico): Postdoc, 2018-2019
- Benjamín Valdés Aguirre, PhD (Tecnológico de Monterrey, Mexico): Visiting teaching faculty, 2018
- Samson Kiware, PhD (Research Scientist, Ifakara Health Institute, Tanzania): Wellcome Trust postdoc fellow, 2015-2018
- Natasha Harrison (UC Berkeley, MPH Epidemiology & Biostatistics): MPH thesis student, 2020-2022
- Jared Bennett, PhD (UC Berkeley, PhD Biophysics & DE Computational Biology): PhD student, 2017-2021
- Francois Rerolle, PhD (UCSF, PhD Epidemiology & Biostatistics): PhD student, 2016-2021
- Sean Wu, PhD (UC Berkeley, PhD Epidemiology & DE Computational Biology): PhD student, 2015-2020
- Thien-An Ha (UC Berkeley, MPH Epidemiology & Biostatistics): MPH thesis student, 2019-2020
- Hao Wang (UC Berkeley, MA Biostatistics): Graduate researcher, 2020
- Rodrigo Careaga (Tecnológico de Monterrey, Mexico, Computer Science major): Visiting graduate researcher, 2019
- 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, PhD (UC Berkeley, PhD Biostatistics): Graduate researcher, 2017-2018
- Lina Montoya, PhD (UC Berkeley, MA Biostatistics): Graduate researcher, 2016
- Jaclyn Guerrero (UC Berkeley, MPH Epidemiology & Biostatistics): MPH thesis student, 2015-2016
- Darpa Anireddy (UC Berkeley, Public Health major): Undergraduate thesis student, 2020-2022
- Reine Ngnonsse (UC Berkeley, Genetics & Plant Biology major): Undergraduate researcher, 2021
- Kendall Dimson (UC Berkeley, Public Health major): Undergraduate researcher, 2021
- Ameek Bindra (UC Berkeley, Data Science & Human Biology major): Undergraduate researcher, 2020-2021
- Chris De Leon (UC Berkeley, Computer Science major): Undergraduate researcher, 2020-2021
- Ashley Zhang (UC Berkeley, Computer Science & Statistics major): Undergraduate researcher, 2020-2021
- 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
- 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 thesis student, 2017-2019
- 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
- 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
Copyright © www.MarshallLab.com 2023
