Biography
Tim Althoff is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering and an Adjunct Assistant Professor at the Information School at the University of Washington. His research advances computational methods to improve human well-being, combining techniques from Data Mining, Social Network Analysis, and Natural Language Processing.
Tim holds Ph.D. and M.S. degrees from the Computer Science Department at Stanford University, where he worked with Jure Leskovec. Prior to his PhD, Tim obtained M.S. and B.S. degrees from the University of Kaiserslautern, Germany. He has received several fellowships and awards including the SAP Stanford Graduate Fellowship, Fulbright scholarship, German Academic Exchange Service scholarship, the German National Merit Foundation scholarship, and a Best Paper Award by the International Medical Informatics Association. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.
Education
- Ph D, Computer Science, Stanford University, 2018
- MS, Computer Science, Stanford University, 2015
- MS, Computer Science, University of Kaiserslautern, 2013
- BS, Computer Science, University of Kaiserslautern, 2013
Awards
- #1 most tweeted JMIR article 2016; #4 most tweeted JMIR article all time, 2017
- Altmetric Top 100 Article 2017 - Altmetric, 2017
- Best Paper Award – Clinical Natural Language Processing 2016, 2017
Publications and Contributions
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Journal Article, Academic JournalBest practices for analyzing large-scale health data from wearables and smartphone apps (2019)NPJ digital medicine, Volume 2, Issue 1, Page 45
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Conference PaperGoal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal (2019)The World Wide Web Conference, Page 571--582
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Journal Article, Academic JournalThe menstrual cycle is a primary contributor to cyclic variation in women's mood, behavior, and vital signs (2019)BioRxiv, Page 583153
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Conference PaperI'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application (2018)Proceedings of the 2018 World Wide Web Conference, Page 1501--1511
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Conference PaperModeling individual cyclic variation in human behavior (2018)Proceedings of the 2018 World Wide Web Conference, Page 107--116
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Conference PaperModeling interdependent and periodic real-world action sequences (2018)Proceedings of the 2018 World Wide Web Conference, Page 803--812
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Journal Article, Academic JournalPsychomotor function measured via online activity predicts motor vehicle fatality risk (2018)NPJ Digital Medicine, Volume 1, Issue 1, Page 20173
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Sleep monitoring from implicitly collected computer interactions (2018)
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Conference PaperHarnessing the web for population-scale physiological sensing: A case study of sleep and performance (2017)Proceedings of the 26th international conference on World Wide Web, Page 113--122
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Conference PaperHow gamification affects physical activity: Large-scale analysis of walking challenges in a mobile application (2017)Proceedings of the 26th International Conference on World Wide Web Companion, Page 455--463
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Journal Article, Academic JournalLarge-scale physical activity data reveal worldwide activity inequality (2017)Nature, Volume 547, Issue 7663, Page 336
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Conference PaperOnline actions with offline impact: How online social networks influence online and offline user behavior (2017)Proceedings of the tenth ACM international conference on web search and data mining, Page 537--546
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Journal Article, Academic JournalPopulation-scale pervasive health (2017)IEEE pervasive computing, Volume 16, Issue 4, Page 75--79
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Journal Article, Academic JournalInfluence of Pokemon Go on physical activity: study and implications (2016)Journal of Medical Internet research, Volume 18, Issue 12, Page e315
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Journal Article, Academic JournalLarge-scale analysis of counseling conversations: An application of natural language processing to mental health (2016)Transactions of the Association for Computational Linguistics, Volume 4, Page 463--476
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Conference ProceedingDonor retention in online crowdfunding communities: A case study of donorschoose. org (2015)Proceedings of the 24th international conference on world wide web, Page 34--44
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Conference ProceedingTimeMachine: timeline generation for knowledge-base entities (2015)Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Page 19--28
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Conference ProceedingHow to ask for a favor: A case study on the success of altruistic requests (2014)Eighth International AAAI Conference on Weblogs and Social Media
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Conference ProceedingAnalysis and forecasting of trending topics in online media streams (2013)Proceedings of the 21st ACM international conference on Multimedia, Page 907--916