April 2017: You can find slides of my recent talks at WWW and WSDM here for
population-scale study of cognitive performance and sleep,
the effect of competition on physical activity, and
offline social influence effects of online social networks.
March 2017: Our research on natural language processing and machine learning for mental health was covered on television by BBC News.
Check out the video.
March 2017: I am co-organizing the workshop on Observational Studies Through Social Media (OSSM or "awesome") at ICWSM 2017 together with Emre Kiciman, Munmun De Choudhury, and Elad Yom-Tov. Submit your papers before March 24, 2017.
February 2017: Our paper demonstrating causal effects of social influence in online social networks on real-world activity got covered by the Wall Street Journal, Stanford News and by ScienceBlog.
The work will be presented at WSDM 2017 this week.
February 2017: Our paper on how gamification and competition affects mobile app users' physical activity got accepted at WWW 2017.
January 2017: Our paper on harnessing human computer interactions for population-scale physiological sensing of sleep and cognitive performance got accepted at WWW 2017 and was recently featured in the Microsoft Next Blog. It was also covered by the Stanford Medicines's Scope Blog.
January 2017: Our paper on Pokémon Go and its impact on physical activity is the #1 most tweeted JMIR article 2016 and received the #3 highest all-time attention score of all JMIR articles.
December 2016: Our paper on the causal effect of social influence in online social networks on online and offline user behavior got accepted to WSDM 2017. We use an activity tracking dataset of 800 millions actions of 6 million users and use natural experiments, difference-in-difference techniques, and matching-based longitudinal studies to quantify social influence effects on app usage, user retention, and offline physical activity.
Check out the coverage in the Wall Street Journal.
December 2016: Our paper on Pokémon Go and its impact on physical activity and public health together with Ryen White and Eric Horvitz at Microsoft Research just got published at the Journal of Medical Internet Research
and covered in
December 2016: I'm giving a series of invited and plenary talks at the
GESIS Computational Social Science symposium,
the Max Planck Institute for Software Systems,
the German Research Center For Artificial Intelligence (DFKI),
the Friedrich-Alexander-Universität Erlangen-Nürnberg,
on leveraging data science and social networks to improve human health and well-being.
November 2016: Our paper on "Quantifying Dose Response Relationships Between Physical Activity and Health Using Propensity Scores" just got accepted to the NIPS Workshop on Machine Learning for Health.
October 2016: Our paper on Pokémon Go and its impact on physical activity has been covered by dozens of news outlets including
MIT Technology Review,
Reddit's front page.
It was also covered by several television news stations including the
Gotta catch ‘em all!
6 October 2016: I published a paper on Pokémon Go and its impact on physical activity and public health together with Ryen White and Eric Horvitz at Microsoft Research. We estimate that Pokémon Go added 144 billion steps to US physical activity within only 30 days.
August 2016: Our TACL paper on a large-scale analysis of crisis counseling conversations got featured in
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition
Tim Althoff, Hyun Oh Song, Trevor Darrell
ACM Multimedia 2012
Sparselet Models for Efficient Multiclass Object Detection
Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross Girshick, Mario Fritz, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
Proceedings of ECCV 2012
Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction
Hyun Oh Song, Mario Fritz, Tim Althoff, Trevor Darrell
UC Berkeley, Tech. Rep. UCB/EECS-2012-16, Jan. 2012
Authorship Attribution in Multi-author Documents
Tim Althoff, Denny Britz, Zifei Shan
CS224U Natural Language Understanding (Chris Potts and Bill MacCartney) and
CS341 Project in Mining Massive Data Sets (Jure Leskovec, Jeff Ullman, Anand Rajaraman), Spring 2013/2014
Recommending CouchSurfers: Machine Learning for Social Travel
Ron Sun, Tobi Baumgartner, Tim Althoff, Sergey Karayev
CS281B Scalable Machine Learning (Alex Smola), Spring 2012
University of California, Berkeley
Iterative Learning: Leveraging the Computer as an On-Demand Expert Artist
Tim Althoff, Armin Samii
CS281A Statistical Learning Theory (Michael Jordan and Martin Wainwright) and
CS294-69 Image Manipulation and Computational Photography (Maneesh Agrawala), Fall 2011
University of California, Berkeley
Social Media Driven Concept Detection (survey)
Seminar on Collaborative Intelligence (Andreas Dengel), Summer 2011
University of Kaiserslautern
Jam-or-Fold: Eine spieltheoretische Betrachtung des Heads-Up Poker (English: Jam-or-Fold: A Game-theoretic Treatment of Heads-up Poker)
Freshman paper (Hausarbeit), September 2008
Eine mathematische Betrachtung des RSA-Verfahrens (English: A Mathematical Treatment of the RSA algorithm)
High School paper (Facharbeit), May 2006
email: [my last name] @stanford.edu
CV/references available upon request