Matthew R. Gormley

Ph.D. Candidate in Computer Science at Johns Hopkins University and Human Language Technologies Center of Excellence fellow.
Email: mrg at cs dot jhu dot edu
Office: Hackerman 321
Advisors: Jason Eisner, Mark Dredze

Research Interests

Natural language processing; Machine learning; Computational semantics; Global optimization; Topic modeling; Low-resource learning; Coreference resolution; Grammar induction.

News

Publications

Teaching

Spring 2014: 600.475 Machine Learning, guest-lectures on HMMs/CRFs/loopy belief propagation.
Spring 2013: 600.476 Machine Learning in Complex Domains (Graphical Models), TA.
Spring 2012: 600.103 Fundamentals of Practical Computing, co-instructor.
Fall 2011/2012: 600.475 Machine Learning, guest-lecture on topic modeling.

Service

Reviewer (Natural Language Processing): TACL 2014, EMNLP 2014, ACL 2014, TACL 2013, ACL 2012, IJCNLP 2011, EMNLP 2011.
Reviewer (Machine Learning): IEEE TPAMI 2014, AISTATS 2012, NESCAI 2010.
Entertainment Chair, ACL 2014.
Organizing committee member, JHU NACLO (North American Computational Linguistics Olympiad), 2011-2013.

Education

Ph.D. Candidate, Johns Hopkins University, 2009 - present.
M.S. in Computer Science, Johns Hopkins University, 2009 - 2011.
B.S. in Computer Science with a double major in Cognitive Science, Carnegie Mellon University, 2003 - 2006.

Work Experience

Google, Research Intern, Summer 2012.
Endeca Technologies, Software developer, 2007-2009.
Microsoft's Speech and Natural Language Group, Intern, Summer 2006.
Scone Knowledge Base Group at CMU, Research assistant for Scott Fahlman, 2005-2007.