I am an Associate Professor of Computer Science at Carnegie Mellon University and Chief Scientist of All Hands AI. My research and development focuses on AI and machine learning in general, and natural language processing in particular. I am to contribute to making these fields more accessible through open publishing of research papers, advanced NLP course materials and video lectures, and software.
Timeline
work
Job
school
Education
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Publication
Résumé
Jobs
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Co-Founder
OpenHands
Jun 2024 - Current(2 years 2 months)
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Co-Founder and CEO
Inspired Cognition
Sep 2021 - Oct 2023(2 years 2 months)
Associate Professor
Carnegie Mellon University
Jul 2020 - Current(6 years 1 month)
Assistant Professor
Carnegie Mellon University
Aug 2016 - Jun 2020(3 years 11 months)
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Coordinator For International Relations
Hyogo Prefectural Government
Aug 2006 - Mar 2008(1 year 8 months)
Assistant Professor
Nara Institute of Science and Technology
Apr 2012 - Jul 2016(4 years 4 months)
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Assistant Language Teacher
Tajima Agricultural High School
Aug 2005 - Jul 2006(1 year)
Education
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Doctor of Philosophy - PhD, Informatics
Kyoto University
Jan 2010 - Dec 2012(3 years)
Master's degree, Informatics
Kyoto University
Jan 2008 - Dec 2010(3 years)
Bachelor's degree, Computer Science
University of Illinois UrbanaChampaign
Jan 2001 - Dec 2005(5 years)
Projects (professional or personal)
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All Hands AI
Collaborated with researchers at OpenHands (https://www.linkedin.com/company/openhands-ai/) , an open-source initiative that aims to build a platform for autonomous software development. (Advised by Graham Neubig) A major challenge with the CodeAct Agent (the foundation of OpenHands) was its poor file editing capability. The SWE-bench is a benchmark designed to evaluate LLMs on real-world software engineering problems. Evaluating on the SWE-bench is a resource-intensive and time-consuming process. To solve the problem of effectively testing iterative improvements, I integrated the Aider Editing Benchmark as an alternative to evaluating the agent’s file editing abilities. Additionally, I implemented visualizations to track the agent's perfor
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Multilingual Models for Neural Machine Translation
Publications
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When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
NAACLHLT Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies