Machine Learning Research Applications During the COVID-19 Pandemic
Speaker: Maimuna (Maia) Majumder
Bio: Dr. Maimuna (Maia) Majumder is a member of the ladder-rank faculty at Harvard Medical School and Boston Children’s Hospital’s Computational Health Informatics Program. Her current research interests involve artificial intelligence and machine learning approaches in the context of public health, with a focus on infectious disease surveillance using digital disease data (e.g., search trends; news and social media). Since January 2020, she and her team have been actively responding to the ongoing COVID-19 pandemic.
Abstract: In this lecture, Dr. Majumder will discuss three foci of her team’s COVID-19-related research during the first year of the pandemic, including agent-based modeling for epidemic dynamics, natural language processing for bibliometric analysis, and novel digital data sources for misinformation surveillance. She will also briefly cover her team’s more recent investigations, including an analysis of county-level risk factors for for COVID-19-related case fatality in the United States and an assessment of psychological responses to the pandemic among telehealth patients, among others.