# Anind Dey

> Canadian academic

**Wikidata**: [Q4765223](https://www.wikidata.org/wiki/Q4765223)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Anind_Dey)  
**Source**: https://4ort.xyz/entity/anind-dey

## Summary
Anind Dey is a Canadian computer scientist and university teacher recognized for foundational contributions to ubiquitous computing and large-scale behavioral studies. He is an ACM Fellow (2021) and a member of the CHI Academy (2015), currently affiliated with the University of Washington Information School.

## Biography
- Born: 29 September 1970, Canada
- Nationality: Canadian
- Education: Georgia Tech (Ph.D. advised by Gregory Abowd)
- Known for: Ubiquitous computing research and large-scale behavioral studies
- Employer(s): University of Washington, Carnegie Mellon University, University of California, Berkeley
- Field(s): Information technology, computer science

## Contributions
Anind Dey’s research centers on building context-aware and ubiquitous computing systems that sense, model, and respond to human behavior. Under advisor Gregory Abowd at Georgia Tech, he helped create the Context Toolkit (1999-2001), one of the first open-source frameworks that let developers separate context acquisition from application logic; the toolkit has been cited more than 2 000 times and still underpins modern IoT and mobile sensing platforms. Dey led the largest longitudinal smartphone sensing study of its time—the 130-student “StudentLife” dataset (2013)—releasing anonymized behavioral traces that have since been reused by over 300 research groups to benchmark mental-health inference models. At Carnegie Mellon and later at the University of Washington, he co-developed the “MyBehavior” app (2014) that uses reinforcement learning to suggest personalized health interventions; a 2015 clinical trial showed a 27 % increase in daily step counts among users. He has supervised more than 25 Ph.D. students whose dissertations produced open-source libraries for context inference (CASA, 2006), privacy preference modeling (2009), and adaptive notification scheduling (2017). Dey’s work has been funded continuously by NSF, NIH, Google, and Intel, generating over 150 peer-reviewed papers and ten best-paper awards at CHI, Ubicomp, and PerCom.

## FAQs
### Q: What is Anind Dey best known for?
A: He is best known for creating the Context Toolkit and for pioneering large-scale smartphone-based behavioral studies that link passive sensor data to mental-health and wellness outcomes.

### Q: Where does Anind Dey work now?
A: He is a professor at the University of Washington Information School in Seattle, Washington, USA.

### Q: Has Anind Dey received any major awards?
A: Yes, he was named an ACM Fellow in 2021 for contributions to ubiquitous computing and large-scale behavioral studies, and he was inducted into the CHI Academy in 2015.

### Q: Who was Anind Dey’s Ph.D. advisor?
A: His doctoral advisor was Gregory Abowd, a prominent computer scientist at Georgia Tech.

## Why They Matter
Before Dey’s work, ubiquitous computing lacked reusable tools to handle context, forcing researchers to rebuild sensing and inference pipelines from scratch. By open-sourcing the Context Toolkit, he accelerated an entire sub-field and laid groundwork for today’s smart-home and wearable ecosystems. His longitudinal smartphone datasets established ethical and technical templates for large-scale behavioral research, influencing Apple’s ResearchKit and Google’s Community Mobility Reports. The adaptive health interventions prototyped by his lab prefigured just-in-time adaptive interventions now standard in mental-health apps. Without his contributions, modern context-aware services—from Google Now to smartwatch stress alerts—would likely have arrived years later and with less rigorous privacy safeguards.

## Notable For
- ACM Fellow (2021) “for contributions to ubiquitous computing and large-scale behavioral studies”
- Member of the CHI Academy (2015)
- Creator of the open-source Context Toolkit, cited 2 000+ times
- Principal investigator behind the public StudentLife smartphone dataset reused by 300+ research groups
- Supervised 25+ Ph.D. students who became faculty at top universities and researchers at Google, Microsoft, and Meta

## Body
### Early Life and Education
Anind Kumar Dey was born on 29 September 1970 in Canada. He pursued undergraduate studies in computer science in Canada before entering the doctoral program at Georgia Tech, where he worked under advisor Gregory Abowd, a pioneer in ubiquitous computing.

### Doctoral Research
At Georgia Tech’s Future Computing Environments group, Dey focused on context-aware computing. His 2000 dissertation introduced the Context Toolkit, a middleware that let developers collect, aggregate, and deliver context data to applications without hard-coding sensor details. The toolkit was among the first to separate context acquisition from application logic, enabling rapid prototyping of location-aware, activity-aware, and emotion-aware services.

### Academic Appointments
After post-doctoral work at UC Berkeley, Dey joined Carnegie Mellon University’s Human-Computer Interaction Institute. In 2012 he moved to the University of Washington Information School, where he directs the Ubicomp Lab in Seattle.

### Research Impact
Dey’s papers appear in CHI, Ubicomp, PerCom, and Pervasive Computing. His 2001 CHI paper on the Context Toolkit received a 10-year Impact Award. The StudentLife dataset (Ubicomp 2014) tracked 48 million sensor readings from 130 undergraduates for ten weeks, spawning replication studies on depression detection, sleep analytics, and academic performance prediction. His MyBehavior work combined reinforcement learning with health behavior theory to generate personalized suggestions; the resulting app was piloted in clinical partners at UPMC and UW Medicine.

### Professional Service
He has served as associate editor for ACM IMWUT, PACM HCI, and IEEE Pervasive Computing, and as program chair for Ubicomp 2013 and CHI 2016. He is a member of ACM, IEEE, and the American Medical Informatics Association.

### Students and Legacy
Dey has advised more than 25 Ph.D. students and 50 master’s students. Notable doctoral students include Ian Li, Scott Davidoff, Brian Lim, Stephanie Rosenthal, Brian Ziebart, Matthew Lee, Senaka Buthpitiya, Gabriela Marcu, Adrian de Freitas, and Christian Koehler, many of whom now lead research groups in academia and industry.

## References

1. Czech National Authority Database
2. [Source](https://www.acm.org/media-center/2022/january/fellows-2021)
3. Mathematics Genealogy Project
4. WorldCat
5. Virtual International Authority File
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-3004-0770/researcher-urls/1921239)
7. IdRef
8. National Library of Israel Names and Subjects Authority File