Andrew Campbell, PhD
Albert Bradley 1915 Third Century Professor, Computer Science, Dartmouth College; Director, Emerging Technologies and Data Analytics Core, Center for Technology and Behavioral Health, Dartmouth College
Andrew T. Campbell is a professor of computer science at Dartmouth College, where he leads the mobile sensing group. Andrew is an experimental computer scientist developing new sensing technology to infer human behavior and surrounding context with specific application to mental health and wellbeing. His group developed the first continuous sensing application for smartphones and is currently focused on turning the everyday smartphone into a cognitive phone. He pioneered the use of smartphones as sensors across a number of diverse application domains including mental health (StudentLife App), wellness (BeWell App), pedestrian (WalkSafe App) and driver (CarSafe App) safety, and social networks (CenceMe App). Andrew’s work received the prestigious ACM SIGMOBILE Test of Time paper Award (for pioneering the application of sensing and machine learning across smartphones and servers) and has been covered widely by the popular press (New York Times, Financial Times, Washington Post), TV (BBC, CBS) and radio (NPR).
Andrew received his PhD in computer science (1996) from Lancaster University, England and the NSF Career Award (1999) for his research in programmable wireless networks. Before joining Dartmouth, he was a tenured associate professor of electrical engineering at Columbia University (1996-2005). Prior to that, he spent ten years in the software industry in the US and Europe leading the development of operating systems and wireless networks. Andrew has been a technical program chair of a number of top conferences in his area including ACM MobiCom, ACM MobiHoc and ACM SenSys; also, he recently co-chaired the NSF sponsored workshop on pervasive computing at scale. Andrew is a recipient of the NSF CAREER Award, IBM Faculty Award and ATT Foundation Faculty Award.
Recently, Andrew worked as visiting research scientist at Google on wearables and at Verily on mental health sensing. At Dartmouth, he leads the StudentLife project to advance mental health sensing, prediction and intervention.
Andrew enjoys playing tenor saxophone, nordic skiing, playing squash and is training for his 14th marathon.
See Google Scholar for his research papers.
See Andrew’s CS webpage for complete details.
Selected Publications
- Huckins JF, daSilva AW, Wang W, Hedlund E, Rogers C, Nepal SK, Wu J, Obuchi M, Murphy EI, Meyer ML, Wagner DD, Holtzheimer PE, Campbell AT. Mental health and behavior of college students during the early phases of the COVID-19 pandemic: Longitudinal smartphone and ecological momentary assessment study. J Med Internet Res. 2020 Jun 17;22(6):e20185. doi: 10.2196/20185. PMID: 32519963; PMCID: PMC7301687.
- Wang R, Wang W, DaSilva A, Huckins JF, Kelley WM, Heatherton TF, Campbell AT. Tracking depression dynamics in college students using mobile phone and wearable sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mar 2018: 2 (1), 43. doi: https://doi.org/10.1145/3191775
- Wang R, Chen F, Chen Z, Li T, Harari G, Tignor S, Zhou X, Ben-Zeev D, Campbell AT. StudentLife: Assessing mental health, academic performance and behavioral trends of college students using smartphones. Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing (UbiComp '14); 2014 September 13-17; Seattle, WA. ACM; 2014, pp. 3-14.
- Campbell A, Choudhury T. From smart to cognitive phones. IEEE Pervasive Computing. 2012 March; 11(3): 7-11.