John M. Marshall, PhD
Assistant Professor in Residence
Divisions of Biostatistics & Epidemiology
School of Public Health
Center for Computational Biology
University of California, Berkeley
Mailing address: 109 Haviland Hall,
Division of Biostatistics,
School of Public Health,
Berkeley, CA 94720-7358, USA
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 GM 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.
Hector M. Sanchez 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 is joining the Marshall Lab in July, 2017. He loves guitars, singing, Pusheen and FPV quadcopters... oh yeah... and programming!
Samson S. Kiware, PhD
Samson is a visiting PostDoc on a Wellcome Trust fellowship with special interests in developing informatics systems and mathematical models based on infectious diseases, especially malaria. His current research projects involve developing and supporting informatics system for collecting and standardizing entomological and environmental datasets. He is also working with a team to create effective user-friendly interfaces that enable multiple researchers to more effectively collaborate, share and synthesize data using standardized formats across multiple studies and sites. His main focus is to develop a vector control optimization model that can be used to evaluate impacts and cost-effectiveness of combined vector control tools at the mosquito population level in a range of eco-epidemiological settings – a model that can assist researchers and program decision-makers on the design of experimental or operational research. Other research plans include developing a platform for a one-stop-shop for all malaria-related data and vector-humans transmission models to evaluate vector control interventions and antimalarial drugs. His other research interests include advanced technologies to sample and analyze mosquitoes, the role of human movement in malaria transmission, and development of user-friendly interfaces for malaria data and models to increase uptake by NMCPs.
Sean L. Wu, MPH
Sean graduated from UC Irvine in 2013 where he studied International Relations & Statistics. In 2016 he obtained his MPH from UC Berkeley in Epidemiology & Biostatistics. He is currently pursuing his PhD in Epidemiology with a concentration in Computational Biology under Dr. John Marshall at UC Berkeley. He is interested in applying ideas from dynamical systems and stochastic process theory to questions of vector-borne disease control. He simultaneously likes and hates programming, and purely likes cooking, archery, hiking, and drawing.
Jared Bennett, BSc
Jared completed honors bachelors of science in Biochemistry, Molecular Genetics, and Physics with honors minors in Math and Music Performance from The Ohio State University in 2014. After graduation, he worked under Dr. Richard Fishel studying DNA Mismatch Repair using single-molecule microscopy techniques. In the fall of 2016, Jared began a PhD program at UC Berkeley in Biophysics with a designated emphasis in Computational Biology. He is currently studying the evolutionary characteristics of CRISPR/Cas mediated gene drives.
Suzanne Dufault, MA
Suzanne received her Bachelor's in Applied Mathematics & Statistics and Hispanic Studies at Macalester College in 2015. After an influential experience with the NHLBI's Summer Institute in Biostatistics program, she decided to pursue her PhD. In 2017 Suzanne completed her Biostatistics MA and subsequently began her PhD studies at UC Berkeley. Her research has included simulation studies for epidemiological outcomes in Cluster Randomized Trials, a review of prevalent variable selection methods in epidemiology, categorical and longitudinal data work, social epidemiology, and recently, the modeling of mosquito dispersion kernels and trial site evaluation for entomological outcomes.
Partow Imani, BS
Partow graduated from the University of California, Los Angeles in 2014 with a Bachelors in Mathematics with an emphasis in Medical and Life Sciences. She is currently pursuing a Master's degree in Biostatistics at the University of California, Berkeley. She joined the Marshall Lab in 2017 and is working on estimating mosquito dispersal kernels as they relate to arbovirus transmission. When not in the lab, she enjoys playing the piano, volleyball and traveling.
Qinlong Jing, MD
Qinlong is a staff at the Department of Infectious Diseases in Guangzhou Center for Disease Control and Prevention (GZCDC) in China. He graduated from Sun Yat-sen University with Master’s degree in 2012 and from Xi’an Jiaotong University with Bachelor’s degree in public health in 2005. He is now an on-job PhD candidate in School of Public Health in Sun Yat-sen University in China, majoring in Epidemiology & Medical Statistics. In recent years, he has been working on mosquito-borne diseases, especially on dengue surveillance and response in GZCDC. He is very interested in modeling dengue transmission and identifying the risk factors that involve climate, mosquito ecology, virus variation, socio-demographic factors and social intervention.
Biyonka Liang is a rising junior studying Statistics with a Mathematics concentration. She works most closely with Sean Wu, especially on the MASH project. When she’s not coding away in R, she enjoys rock climbing, learning new piano pieces and playing video games.