About Me

I'm an associate professor in the iSchool at the University of Maryland. I joined the faculty in August 2004, shortly after completing my Ph.D. in Electrical Engineering and Computer Science at MIT, and was promoted to associate professor in March 2009. I also have appointments in the Institute for Advanced Computer Studies (UMIACS) and the Department of Computer Science at Maryland.

I work at the intersection of natural language processing (NLP) and information retrieval (IR), with a recent emphasis on scalable algorithm design and large-data issues. I direct the recently-formed Cloud Computing Center, an interdisciplinary group which explores the many aspects of cloud computing as it impacts technology, people, and society. I'm also a member of both the Computational Linguistics and Information Processing Lab (CLIP) and the Human-Computer Interaction Lab (HCIL).

I'm currently spending my sabbatical at Twitter, so that's why you should definitely follow @lintool on Twitter here! I also do some work from time to time for Cloudera, which aims to bring Hadoop MapReduce to the enterprise.

head shot of me

News

2010/07/13 Presentation at Microsoft Faculty Summit 2010: sides [pptx]
2010/06/29 Presentation at Hadoop Summit 2010 on MapReduce algorithms: sides [pptx] [pdf], code [description] [github]
2010/06/01 Tutorial at NAACL HLT 2010: Data-Intensive Text Processing with MapReduce (with Chris Dyer)
2010/05/28 Posted two KDD workshop papers about MapReduce, one on graph algorithms, the other on computer vision
2010/05/06 Posted SIGIR 2010 paper Learning to Efficiently Rank (with Lidan Wang and Don Metzler)
2010/04/29 Data-Intensive Text Processing with MapReduce, book with Chris Dyer, published online
2010/03/29 It's official! I'm spending my sabbatical at Twitter, from June 2010 to August 2011
[more...]

Contact Information

Jimmy Lin
Hornbake 2117F
The iSchool — College of Information Studies
University of Maryland
College Park, MD 20742

keywords: Jimmy Lin, MapReduce, Hadoop, cloud computing, large-scale distributed computing, data-intensive text processing, information retrieval, IR, natural language processing, NLP, computational linguistics, question answering, QA, lexical semantics, predicate argument structure, Mandarin syntax