Christopher Boyer is a postdoctoral research fellow in Marc Lipsitch’s lab at the Harvard T.H. Chan School of Public Health. With Marc he is modeling the viral kinetics of SARS-CoV-2 by combining data from serological and virological assays. He is also interested in applying modern causal methods to the study of infectious disease. His previous research spans several topics in epidemiology and the social sciences. He received a PhD in Epidemiology and…
Mary Bushman (they/she) is an instructor in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health. Mary has a B.A. in Mathematics from Carleton College and a Ph.D. in Population Biology, Ecology and Evolution from Emory University, and worked as a postdoctoral fellow with Rustom Antia at Emory University and then with Bill Hanage in the Center for Communicable Disease Dynamics at HSPH. While at Harvard,…
I am an infectious disease epidemiologist and statistician. My current research concerns the design of mathematical tools (known as models) for understanding the spread of multidrug-resistant tuberculosis (MDR-TB). MDR-TB is TB resistant to (at least) isoniazid and rifampin, the two most potent anti-TB drugs, and is a major global health concern. My work aims to provide evidence for the formulation of control policies against MDR-TB. I am also involved in…
Julia is a postdoctoral research fellow in the lab of Marc Lipsitch. Her research focuses on modeling antibody kinetics following SARS-CoV-2 vaccination and infection, and estimating the associated level of protection against further infection. She recently completed her PhD in Computational Biology at ETH Zurich in Switzerland, where she established models for blood glucose prediction in type 1 diabetes. In addition, Julia developed insulin treatment strategies to improve blood glucose…
At HSPH, Masa conducts research on wastewater-based surveillance for COVID-19 and measuring the social value of vaccination.
I specialize in genomic epidemiology, and my research revolves around the examination of genomic data from both human and bacterial sources in tuberculosis patients. My research focus on investigating the association between genotype and phenotype in tuberculosis. Furthermore, I have a keen interest in understanding how immunity changes and in unraveling the transmission patterns of tuberculosis.
Fayette received her PhD in Bayesian Statistics from Utrecht University in 2020. She is interested in developing and applying methods for evidence synthesis of replications or multiple data sources. Currently, her research focuses on modeling infectious diseases using Bayesian statistics and combining multiple data sources.
Bradford Taylor is a quantitative biologist interested in how the environment shapes bacterial pathogen pangenomes. As a theorist, he tends to tackle questions using some combination of dynamical and statistical modeling. Previously for his PhD, he worked with Joshua Weitz at Georgia Tech to address how multiple phage infections ecologically impact host populations. Next with Joao Xavier, he investigated how the gut microbiome mediates antibiotic resistant infections in immunocompromised patients…
Aishani is a senior at Harvard College and is in the Grad and Lipsitch Labs, interested broadly on questions of preparedness in infectious diseases. She works on modeling within-host kinetics of SARS-CoV-2, CRISPR-Cas13-based diagnostic testing for antibiotic susceptibility in Neisseria gonorrhoeae, and understanding the role of viral discovery in zoonotic hosts in outbreak preparedness and response. Aishani previously focused on seroprevalence studies and rapid antigen testing in the Michael Mina…
Tse Yang (T.Y.) Lim is a complex systems modeler who develops simulation models of public health problems to inform policy decision processes. His recent work has focused on substance use and the opioid crisis, as well as the COVID-19 pandemic. He received his PhD from the system dynamics group at the MIT Sloan School of Management, and was previously an ORISE Fellow at the US Food and Drug Administration. He…
