Rate My Professor Andrew Campbell

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.