AI for Public Health

[CFAR Rising Star Lecture]
AI for Public Health by Dr Bryan Wilder
28 Apr 2022 | 8:30pm (Singapore Time)

As exemplified by the COVID-19 pandemic, our health and well-being depends on a difficult-to-measure web of societal factors and individual behaviours. This effort requires new algorithmic and data-driven paradigms which span the full process of gathering costly data, learning models to understand and predict the interactions of many agents, and optimising the use of limited resources in interventions. 

In response to these needs, Dr Bryan Wilder will present methodological developments at the intersection of machine learning, optimisation, and social networks, which are motivated by on-the-ground collaborations on HIV prevention, tuberculosis treatment, and the COVID-19 response. These projects have produced deployed applications and policy impact. For example, he will be presenting the development of an AI-augmented intervention for HIV prevention among homeless youth. This system was evaluated in a field test enrolling over 700 youths and found to significantly reduce key risk behaviours for HIV.

AI for Public Health - Bryan Wilder
Dr Bryan Wilder
PhD Institution, Harvard University
Postdoctoral institution and lab, Chan Lab, Harvard School of Public Health

Bryan Wilder is Schmidt Science Fellow at Carnegie Mellon University and Harvard School of Public Health. In Fall 2022, he will join CMU as an Assistant Professor in the Machine Learning Department. His research focuses on the intersection of optimisation, machine learning, and social networks, motivated by applications to public health. He was previously supported by the NSF and Siebel Fellowships and his dissertation was recognised with the 2021 IFAAMAS Victor Lesser Distinguished Dissertation Award. His work has been a finalist for best paper awards at ICML, AAMAS, and the INFORMS Doing Good with Good OR competition.