I am a founding faculty member in the new Information Science department in the College of Media, Communication, and Information at CU-Boulder (see: CU vs. UC). I received a Ph.D. in Computer Science from Johns Hopkins University in 2015, and a B.S. in Computer Science from the University of Illinois at Urbana-Champaign in 2009. See my CV. My research is at the intersection of text analysis and health/social science. On the methodological side, I research machine learning and natural language processing, and in particular I develop methods in topic modeling, which I use to discover patterns in large text datasets. On the applied side, I study social media to learn about human behavior, especially in the context of public health.
I am no longer in academia as of May 2020. I am not currently responding to reviewer requests.

Code

• SPRITE
• Factorial LDA
• Topic modeling for document sequences
• Java implementations of the Block HMM and Mixed Membership Markov Model (M4)
• Multi-Faceted Topic Modeling Package
• Java implementations of Cross-Collection LDA and the Topic-Aspect Model
• Carmen: Geolocation for Twitter

Data

• Zika Tweets, 2015-2016
• Data used in Pruss et al., PLOS ONE 2019.
• Tweets for Survey Prediction
• Data used in Benton et al., AAAI 2016.
• Weibo Air Pollution Dataset
• Data used in Wang et al., JMIR 2015.
• Health Tweets
• Data used in Paul and Dredze, PLOS 2014. Includes health-related tweet IDs and ATAM output.
• Doctor Review Dataset
• Data used in Wallace et al., JAMIA 2014.
• Influenza Twitter Annotations
• Data used in Lamb et al., NAACL 2013. Tweet IDs annotated with flu relevance.
• Health Twitter Annotations
• Data used in Paul and Dredze, ICWSM 2011. Tweet IDs annotated with health relevance.
• Cross-Cultural Blog and Forum Dataset
• Data used in Paul and Girju, EMNLP 2009.

Other Resources

• The code from my group's recent projects can be found on the GitHub pages for Xiaolei Huang and Yoshinari Fujinuma.
• Some annotated tweets are available from the SMM4H shared tasks.
• See Mark Dredze's website for other code/data that I have worked with.