In this talk, Prof. Majumder will discuss her work in computational epidemiology (comp epi): an interdisciplinary field at the intersection of machine learning, digital data, and public health. With a focus on the first year of the COVID-19 pandemic, topics covered will include agent-based models for health policy simulation; smartphone mobility data for health policy evaluation; and search query & news media data for monitoring health misinformation. Notably, the health policies and digital data considered will showcase the role of social justice and social networks in Prof. Majumder’s research.
Maimuna (Maia) Majumder is an Assistant Professor in the Computational Health Informatics Program at Harvard Medical School and Boston Children’s Hospital. She holds a PhD and an SM from the Massachusetts Institute of Technology, as well as an MPH from Tufts University School of Medicine. Her research applies methods from machine learning and network science to public health problems using search query, mobile phone, and news & social media data. Among others, the Majumder Lab’s current problem areas include emerging & vaccine-preventable infections; medical misinformation; and outcome disparities in marginalized populations.
