Makes even the toughest topics accessible.
This comment is not public.
Andrew T. Campbell is the Albert Bradley 1915 Third Century Professor of Computer Science at Dartmouth College, a position he has held since joining the faculty in 2006. He earned his PhD from Lancaster University in 1996. Previously, Campbell served as a tenured associate professor of electrical engineering at Columbia University for a decade. Between 2016 and 2018, he worked as a research scientist at Google in the Android Wearables group and Verily, focusing on mental health and AI technologies. As co-director of Dartmouth's HealthX Lab and co-lead of Emerging Technologies and Data Analytics at the Center for Technology and Behavioral Health, he contributes to initiatives like the NSF AI Research Institute on Interaction for AI Assistants and the Evergreen Project. A low-income first-generation college student, Campbell has taught courses including CS 1: Introduction to Programming and Computation and Applications of Data Science.
Campbell's research centers on mobile sensing with smartphones and wearables, AI-driven interventions, and technologies to assess and manage mental illnesses such as anxiety, depression, and schizophrenia at population scale, particularly for college students. He pioneered the StudentLife study using smartphone apps to track mental health and released the College Experience Study Dataset encompassing data from 200 students. He has authored over 450 papers on ubiquitous computing, wireless networks, sensor networks, and mobile computing, along with the book Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data (2024). Select publications include Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic (2024), MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences (2024), and earlier works like CenceMe (2008) and StressSense (2012). His efforts have secured $42 million in grants from NSF, NIH, Google, Intel, and others. Awards include the ACM UbiComp 10-Year Impact Award (2024 for StudentLife, 2022 for StressSense), ACM SIGMOBILE 2019 Test of Time Paper Award, ACM SenSys 2018 Test of Time Award, and the 2025 Dean of the Faculty Award for Outstanding Mentoring and Advising. Campbell has keynoted at the Amazon Lab126 Tech Summit (2022), Harvard Health Data Science Symposium (2021), HotMobile (2018), and SXSW (2019), and co-chaired Dartmouth symposia on AI and digital mental health. His research appears in The New York Times, Wall Street Journal, BBC, NPR, and more.
