AI4Health – Computational Epidemiology During the COVID-19 Pandemic

Abstract: In this talk, Professor Majumder will discuss her recent 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 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. In particular, the health policies and digital data considered will showcase the role of social justice and social networks in Prof. Majumder’s research. Host: Abigail Horn, Research Assistant Professor of Industrial and Systems Engineering. You may sign up here: https://docs.google.com/spreadsheets/d/1Ygbf_dw_Lz2PHkAhkBZKRG7zauEyMjo5/edit?usp=sharing&ouid=115809796864143943107&rtpof=true&sd=true
to speak with Professor Majumder via Zoom between 9 am and 10:30 am, and 12 pm and 2 pm. All times Pacific   Speaker Bio Dr. Maimuna (Maia) Majumder (she/they) is an Assistant Professor and Inaugural Peter Szolovits Distinguished Scholar in the Computational Health Informatics Program at Harvard Medical School and Boston Children’s Hospital. Her research applies artificial intelligence & machine learning methods to public health problems, with a focus on infectious disease surveillance using search query, mobile phone, and news & social media data. Since January 2020, Maia and her team have been actively responding to the ongoing COVID-19 pandemic.

Location:  ONLINE ONLY

Audiences: Everyone Is Invited

Contact: Tricia Olmedo

Event Link: https://usc.zoom.us/j/93936022035?pwd=Ot1rjLPcXteolnG18eVVPJhnrdiBtr.1&from=addon