Jason Eisner
Scholar

Jason Eisner

Google Scholar ID: tjb2UccAAAAJ
Professor of Computer Science, Johns Hopkins University
Natural Language ProcessingMachine LearningDeclarative Programming Languages
Citations & Impact
All-time
Citations
8,549
 
H-index
40
 
i10-index
96
 
Publications
20
 
Co-authors
49
list available
Resume (English only)
Academic Achievements
  • Publications and related materials; Research students; Full CV; Short bio; Research summary; Courses; Tutorial materials; Teaching statement; 2012 and 2019 interviews about teaching; Code, including the Dyna project; Advice for research students and prospective students; 2014 Workshop on Probabilistic Representations of Linguistic Meaning.
Research Experience
  • Professor, Department of Computer Science, Johns Hopkins University; Member of multiple research centers such as the Center for Language and Speech Processing, Data Science and AI Institute, etc.
Background
  • Research interests include novel methods in NLP and ML, particularly probabilistic modeling and inference in complex, structured, or ill-defined settings. He also focuses on designing declarative specification languages backed by general efficient algorithms.
Miscellany
  • Email: jason@cs.jhu.edu; Office: Hackerman 324C; Phone: ask me; Zoom: ask me; Skype: jasoneisner (email to set up a time); Fax: (410) 516-6134; Social media accounts: Facebook @jeisner, Twitter @adveisner, Google Scholar citations, G+ profile page