Hello!
I am a data scientist at CGI
Federal, currently helping government clients with big data
solutions.
I am also a Ph.D candidate in Computer
Science and a member of CLIP@Umiacs
at the University of Maryland. My
advisors are Dr.
Jordan Boyd-Graber and Dr. Philip Resnik.
I was born in Hanam, Vietnam.
Research Interest
Topic Models, Bayesian Nonparametric, Spectral Learning,
Computational Linguistics, and Machine Learning.
Publications
- Philip Resnik, William Armstrong, Leonardo Claudino, Thang
Nguyen, Viet-An Nguyen, and Jordan Boyd-Graber. Beyond LDA: Exploring Supervised Topic
Modeling for Depression-Related Language in Twitter. ACL
Workshop on Cognitive Modeling and Computational Linguistics,
2015.
- Thang Nguyen, Jordan Boyd-Graber, Jeff
Lund, Kevin Seppi, and Eric Ringger. Is Your Anchor Going
Up or Down? Fast and Accurate Supervised Topic Models. North
American Chapter of the Association for Computational
Linguistics - Human Language Technologies (NAACL HLT), 2015. [Poster].
- Thang Nguyen, Yuening Hu, and Jordan
Boyd-Graber. Anchors
Regularized: Adding Robustness and Extensibility to Scalable
Topic-Modeling Algorithms. Association for Computational
Linguistics (ACL), 2014. [Talk].
- Thang Nguyen, Yuening Hu and Jordan
Boyd-Graber. Evaluating Regularized Anchor Words.
Workshop on Topic Models, NIPS, 2013.
- Lee Peters, Jonathan Mortensen, Thang
Nguyen, Olivier Bodenreider. Enabling
Complex Queries to Drug Information Sources through Functional
Composition. Stud Health Technol Inform (Proc Medinfo),
2013. [Application].
- Lee Peters, Joan E.Kapusnik-Uner, Thang
Nguyen, Olivier Bodenreider. An
Approximate Matching Method for Clinical Drug Names. AMIA
Annu Symp Proc, 2011.
- Manabu Torri, Burt-Ujin Bayarsaikhan, Hongfang Liu, Thang
Nguyen, Kevin D. Jones, Noele P. Nelson, David M. Hartley. An
Exploratory Study of News Article Clustering for Web-based
Bio-surveillance. IHI, ACM, 2010.
- Manabu Torii, Lanlan Yin, Thang Nguyen,
Chand T. Mazumdar, Hongfang Liu, David M. Hartley, Noele P.
Nelson. An
Exploratory Study of A Text Classification Framework for
Internet-based Surveillance of Emerging Epidemics.
International Journal of Medical Informatics, 2010.