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Johns Hopkins University The Whiting School of Engineering

Jason Eisner

Professor
ACL Fellow

Jason Eisner Department of Computer Science
Johns Hopkins University
3400 N. Charles Street, Hackerman 226
Baltimore, MD 21218-2680   U.S.A.

Email: jason@cs.jhu.edu
Web: http://cs.jhu.edu/~jason
Facebook: @jeisner
Twitter: @adveisner
Scholar: citations
G+: profile page
Office: Hackerman 324C
Phone: (410) 516-8438 (dial 516-THETA)
Skype: jasoneisner (email me to set up a time)
Fax: (410) 516-6134

Department of Computer Science   (my primary appointment)
Center for Language and Speech Processing   (my major multi-departmental center at JHU)
Data Science and AI Institute   (large community of ML/AI researchers at JHU)
Mathematical Institute for Data Science   (see also older Machine Learning Group page)
Department of Cognitive Science   (my joint appointment)
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My Work

What I Work On

Novel methods in NLP and ML. Focusing on probabilistic modeling and inference in complex, structured, or ill-defined settings.

This often involves new machine learning; creative uses and modifications of large language models; probabilistic models of linguistic structure, human behavior, and machine behavior; combinatorial algorithms and approximate inference.

I'm also into designing declarative specification languages backed by general efficient algorithms (and adaptive execution). This produces a coherent view of all of the modeling and algorithmic options, and accelerates the research of others.

Why? [click here]

What? [click here]

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Courses

See also other tutorial material.

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Personal

Undergraduates are often curious about their teachers' secret lives. In the name of encouraging curiosity-driven research, here are a few photos:

And some non-photos:

If I had a geek code, it would be GCS/O/M/MU d-(+) s:- a+ C++$ ULS+(++) L++ P++ E++>+++ W++ N++ o+ K++ w@ !O V- PS++ PE- Y+ PGP b++>+++ !tv G e++++ h- r+++ y+++, but I disapprove of the feeping creaturism of these things.

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