Nathan Lo, MD PhD - Principal Investigator
Nathan C. Lo, MD PhD, is an infectious diseases physician-scientist and epidemiologist. The overarching goal of his research is to apply diverse computational methodologies to understand transmission of infectious diseases and design more effective public health policies to control and eliminate them locally and globally, with particular attention to vulnerable populations. His current research focuses on tropical diseases, vaccine-preventable infections, and COVID-19. He received a BS in Bioengineering from Rice University, and MD and PhD in Epidemiology from Stanford University. He completed a clinical residency in internal medicine at UCSF, with subspecialty training in infectious diseases.
Benjamin Singer, DPhil
Ben is a post-doctoral scholar in the group. He received his DPhil from the University of Oxford in 2021. He has worked on a variety of projects at the interfaces of mathematics, life sciences, and public policy, with a particular interest in pandemic risk and global public health. His current research concerns effective control of schistosomiasis.
Sophia Tan
Sophia is a research data scientist in the group. She received a bachelor's degree from UC Berkeley with a double major in Data Science and Molecular & Cell Biology. She has worked with the WASH Benefits team to understand the complex relationships between child biomarkers and child growth and development outcomes. She is interested in exploring the intersection of global health and data science and utilizing computational tools to inform public health policy.
Hailey Park
Hailey is a research data scientist in the group. She recently received a bachelor's degree from UC Berkeley with a double major in Public Health and Data Science. Her current interests include computational epidemiology and global environmental health. She has previously worked with Dr. Blonder in the Macrosystems Ecology Laboratory on a project investigating the multi scale tradeoffs of leaf vein networks. Prior to that, she has worked with the Madsen Group at the Nutritional Policy Institute on their Soda Tax project, and with the non-profit ARTogether as a documentary research assistant. Aside from her academic interests, she enjoys listening to music, crafting, and being in the outdoors!
Shahzar Rizvi
Shahzar is a graduate reseracher in the group. He is currently enrolled as a master's student in Statistics at UC Berkeley. He received his bachelor's degrees in statistics, computer science, and pure mathematics from UC Berkeley in 2021. Shahzar has worked on a variety of research projects in topics such as variational inference, nonparametric maximum likelihood methods, and, most recently, likelihood ratio methods. His interests lie in theoretical statistics and probability, and also in using theory to better understand, develop, and apply methods for statistical modeling, inference, and learning.
Minoli Daigavane
Minoli is an undergraduate reseracher in the group. She is currently enrolled as an undergraduate student in Data Science at UC Berkeley. Her interests lie in the epidemiological and biological domains of data science.
Past members:
Poojan Shukla
Poojan worked in the group as an undergraduate researcher (2019-2021) while studying at UC Berkeley. After, he started as a medical student at UCSF.
Lloyd Chapman, PhD
Lloyd worked in the group as a post-doctoral scholar (2019-2021). After, he started as a Research Associate/Assistant Professor at the London School of Hygiene and Tropical Medicine.
Ribhav Gupta, MS
Ribhav worked in the group as an undergraduate and masters (Stanford University) and medical student reseacher (2016-2021). After, he started as a medical student at the University of Minnesota Medical School.
Krishna Ravi
Krishna worked in the group as an undergraduate researcher (2019-2021) while studying at UC Berkeley. After, he started at Google.