Jonathan Kummerfeld

Dr. Jonathan Kummerfeld is a Senior Lecturer at the University of Sydney's School of Computer Science, specializing in Natural Language Processing (NLP) and AI collaboration. He holds a PhD from UC Berkeley and a B.Sc. from the University of Sydney, with postdoctoral research at the University of Michigan. His work focuses on enabling computers to collaborate effectively with humans through NLP, including interactive systems, dialogue, and crowdsourcing.

Education:

• PhD in Computer Science, UC Berkeley (advised by Dan Klein), 2016
• B.Sc. in Computer Science, University of Sydney (advised by James Curran), 2010
• Postdoctoral Researcher at University of Michigan (2016–2021)

Research Interests:

• Interactive Executable Semantic Parsing
• NLP Data Science for Messy Real-World Data
• AI Collaboration in Games and Dialogue

His recent work explores empathetic AI systems, alignment algorithms, and AI-resilient interfaces. Over 50 publications span venues like ACL, NAACL, and ICML.

Grants & Advising:

• CHIRON (DARPA): AI for recognizing opponent narratives
• Google/Amazon grants for annotation tools and dialogue systems
• Advising PhD student Kent O'Sullivan

His lab develops tools like SLATE and contributes to dialogue corpora.

Labs/Teams: Leads the Sydney NLP Lab, focusing on human-AI collaboration and scalable NLP systems.