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)

  • SIGDIAL Special Session on Safety for Conversational AI proposal, Advisory board: 2021.

  • 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, 2020

  • 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 at Amazon.

Hao Fang, Summer 2015. Natural language understanding. Currently at Microsoft in the Semantic Machines group.

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

Pradeep Dasigi, Summer 2014. Conversational systems. Currently at AI2.

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 Assistant Professor at NYU.

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 Director at LivePerson.

Hamid Chinaei, Summer 2010 at AT&T. Reinforcement learning for dialog systems. Currently at Carleton University.

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

Lihong Li, Summer 2008 at AT&T. Feature selection in reinforcement learning. Currently a Senior Principal Scientist at Amazon.

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).