Jason D. Williams

Experience & education

Apple/Siri, Senior manager, Language understanding, 2018-Present

Microsoft Research, Principal Research Manager, 2012-2018

AT&T Labs Research, Principal Member of Technical Staff, 2006-2012

Cambridge University, Ph D, Engineering Dept, 2002-2006

Edify Corp, Senior consultant - Usability and Speech Technology, 2002-2005

Tellme Networks, Voice Application Development Manager, 2000-2001

McKinsey & Company, Associate, 1999-2000

Cambridge University, Masters, Speech/Language Processing, 1998-1999

Princeton University, BSE, Electrical Engineering, 1994-1998

Publications

Google scholar page

Microsoft Academic - "Dialog Systems" area

Contact

jdw [at} alumni (dot] princeton [dot) edu

LinkedIn page

Appointments, editor, and organizer roles

Journal reviewing and grant panelist

Conference program committees

Workshop and other program committees

  • ACL demo committee: 2011.
  • ACL Student Research workshop program committee: 2014, 2015.
  • COLING Demonstration session: 2016, 2014.
  • COLING Workshop: Spoken language technologies for pervasive speech-based and multimodal applications program committee: 2014, 2008
  • Workshop on Speech-centric Natural Language Processing, program committee: 2017 (EMNLP), 2016 (COLING)
  • DSTC workshop, reviewer: 2017.
  • Domain Adaptation for Dialog Agents Workshop (DADA): 2016
  • EACL 2014 Workshop on Dialog in Motion: 2014.
  • ECAI/IJCAI/AAAI Workshop on Machine Learning for Interactive Systems (MLIS): 2015, 2014, 2013, 2012
  • EMNLP Workshop on Modeling Large Scale Social Interaction in Massively Open Online Courses: 2014.
  • Future and Emerging Trends in Language Technologies (FELT): 2015, 2016.
  • ICLR Deep Reinforcement Learning Meets Structured Prediction: 2019.
  • ICML Workshop on Learning to Generate Natural Language: 2017.
  • IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems program committee: 2011, 2009.
  • Machine Learning for Spoken Language Understanding and Interactions Workshop (at NIPS): 2015.
  • NAACL Student Research workshop program committee: 2015.
  • NIPS Workshop on Learning Semantics: 2014.
  • NIPS Conversational Intelligence Challenge: 2017.
  • RE-WOCHAT (Workshop on Collecting and Generating Resources for Chatbots and Conversational Agents - Development and Evaluation): 2016 (1), 2016 (2)
  • SLAM: Joint ISCA/IEEE International Workshop on Speech, Language and Audio in Multimedia: 2013.
  • Workshop on Future and Emerging Trends in Language Technology: 2015.
  • Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data scientific committee: 2012.
  • Workshop on NLP for Conversational AI: 2019
  • Workshop on Speech-Centric Natural Language Processing: 2017
  • Young researchers' roundtable on spoken dialogue systems advisory board: 2019, 2018, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2006.

Interns

Kavosh Asadi, Summer 2016 and 2017. Reinforcement learning with recurrent neural networks for dialog systems. Currently a PhD student with Michael Littman, Brown University.

Hao Fang, Summer 2015. Natural language understanding. Currently a PhD student with Mari Ostendorf, University of Washington.

Nobal Niraula, Summer 2014. Natural language understanding. Currently with Boeing Research & Technology.

Pradeep Dasigi, Summer 2014. Conversational systems. Currently a PhD student with Ed Hovy, CMU.

Ke Zhai, Summer 2013. Dialog modeling. Currently an Applied Scientist at Microsoft.

He He, Summer 2013. Action selection in dialog systems (co-mentored with Lihong Li as lead mentor). Currently a post-doc researcher with Percy Liang at Stanford University.

Angeliki Metallinou, Summer 2012. Belief tracking in dialog systems (co-mentored with Dan Bohus). Currently a Speech Scientist at Amazon.

Ethan Selfridge, Summer 2010 and 2011 at AT&T. Turn-taking in dialog systems. Currently at Interactions Corp.

Hamid Chinaei, Summer 2010 at AT&T. Reinforcement learning for dialog systems. Currently with Nuance Communications.

John Asmuth, Summer 2009 at AT&T. Bayesian approaches to reinforcement learning. Currently at Google.

Lihong Li, Summer 2008 at AT&T. Feature selection in reinforcement learning. Currently a Researcher with Microsoft Research.

Umar Syed, Summer 2007 at AT&T. Learning user models from unlabeled data. Currently a research scientist at Google.

Thesis committees

Ethan Selfridge, Oregon Health & Science University (2013)

Rohit Kumar, Carnegie Mellon University (2011).