MARCH 17, 2023
Andrew Campbell, PhD
Albert Bradley 1915 Third Century Professor in Computer Science
Dartmouth College
About the Presentation: Mental illness touches nearly every family. It negatively affects mood, behavior and functioning. It can come with tremendous personal cost. Consider the first year college student who experiences their first depressive episode on campus after feeling anxious, isolated and suicidal. Or the outpatient living with schizophrenia who endures severe hardship, such as, homelessness, victimization and incarceration. Over the last decade, we have seen the rise of digital mental health sensing and intervention technology based on phones, wearables and AI/machine learning. In my talk, I will discuss mobile sensing technology for the assessment, prediction and intervention of depression and anxiety for college students. I will argue that mobile and AI technology is poised to radically change how we diagnose, manage and treat student mental health on college campuses – in a nutshell, a moonshot for mental health.
About the Presenter: Andrew T. Campbell is the Albert Bradley 1915 Third Century Professor in Computer Science at Dartmouth College. He is known for his pioneering work in mobile phone sensing. Some of the activity inference algorithms developed by his group are now common in all smartphones. Before joining Dartmouth, he was a tenured professor of electrical engineering at Columbia University. He has been a visiting professor at CMU Rwanda, University of Salamanca, Cambridge University and University College London. At Google he worked on cardiovascular health as a member of the Android group and later as a visiting research scientist at Verily Life Sciences working on mental health sensing. His work has received a number of awards (e.g., ACM UbiComp 2022 10-year Impact Award, the ACM SIGMOBILE 2019 Test of Time Paper Award where his group “pioneered applying machine learning across local devices and servers”) and has been covered widely by the popular press (New York Times, Financial Times, Economist), TV (BBC, CBS) and radio (NPR).