Dr. Tatsunori Hashimoto, Assistant Professor of Computer Science at Stanford, will share insights on emerging AI and LLM innovations across Asia, highlighting how technical and geopolitical factors are shaping the next wave of model development.
Dr. Tatsu Hashimoto is an Assistant Professor of Computer Science at Stanford University, where his research focuses on developing more robust and trustworthy machine learning systems. His work applies statistical tools to improve reliability and fairness in complex models such as large language models, with interests spanning long-tail behavior, out-of-domain understanding, and bias mitigation. Before joining Stanford’s faculty, he was a postdoctoral researcher with John Duchi and Percy Liang at Stanford and earned his PhD from MIT, where he was co-advised by Tommi Jaakkola and David Gifford.
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To attend in-person, please register over Eventbrite.
To attend by Zoom, please register here.
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Agenda:
- 4:30 – 5:50 pm Discussion and Audience Q&A
- 5:50 – 6:30 pm Networking over light refreshments
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Parking options:
- Memorial Way, Stanford, CA 94305 [Google Map]
- Lasuen St. and Roth Way, Stanford, CA 94305 [Google Map]
- Please check parking signs carefully to ensure that permitted parking (A or C) and metered spaces are free after 4:00 pm. Paid parking is enforced around The Oval until 6:00 pm.
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This program is part of our series on "Topics in International Technology Management: Innovations in AI from Asia".
For our schedule of speakers, please visit our event page here.
Session Recordings are typically posted within 3 business days after each session on our Youtube Channel.
