Distinguished Lecture Series
The Allen School’s Distinguished Lecture Series features luminaries from the world of science and technology sharing their insights into future directions of research and what it means to the field of computing and to our society. Members of the UW community and the public are welcome! We also live-stream the events on YouTube.
Upcoming Distinguished Lecture Events
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All Events
For a complete historical list of all distinguished lecturers at the Allen School, see this page.
Marc Raibert (The AI Institute) November 21, 2024
Larry Zitnick (Meta, Inc.) November 14, 2024
Jason Ansel (Meta AI) November 7, 2024
Persi Diaconis (Stanford University) November 1, 2024
Jitendra Malik (UC Berkeley + Meta Inc.) October 31, 2024
Ryan Williams (MIT CSAIL) October 24, 2024
Andrew Owens (University of Michigan) October 18, 2024
Emily Mower Provost (University of Michigan) October 10, 2024
From Speech to Emotion to Mood: Mental Health Modeling in Natural Environments
Noam Brown (OpenAI) May 23, 2024
Parables on the Power of Planning in AI: From Poker to Diplomacy
Richard Ladner (Paul G. Allen School of Computer Science & Engineering) May 9, 2024
Banghua Zhu (UC Berkeley) April 9, 2024
Lianmin Zheng (UC Berkeley) April 8, 2024
Emily Aiken (UC Berkeley) April 2, 2024
Targeting humanitarian aid with machine learning and digital data
Zhijian Liu (MIT) April 1, 2024
Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications
Emma Dauterman (UC Berkeley) March 28, 2024
Rachit Nigam (Cornell University) March 25, 2024
Yilun Du (MIT) March 14, 2024
Generalizing Outside the Training Distribution through Compositional Generation
Manoel Ribeiro (EPFL) March 7, 2024
Xupeng Miao (Carnegie Mellon University) March 5, 2024
Architecture-Tailored Parallelization for Accessible Large Model Era
Andres Erbsen (MIT) March 4, 2024
Proof-driven Development of Production-quality Cryptographic Software
Sagar Karandikar (UC Berkeley) February 27, 2024
Catch M(oor)e If You Can: Agile Hardware/Software Co-Design for Hyperscale Cloud Systems
Will Chapman () February 20, 2024
Advancing Weather and Climate Prediction with Data Driven Methods
Makoto Kelp (Stanford University) February 15, 2024
A Data-Driven Future for Atmospheric Chemistry, Wildfires, Climate, and Society
Serina Chang (Stanford University) February 13, 2024
Computational methods for human networks and high-stakes decisions
Kyunghyun Cho (New York University | Genentech) February 8, 2024
Qindan Zhu (MIT) February 7, 2024
The Radical Solution: Machine Learning and the Hydroxyl Radical for Air Quality and Climate
Emily Gordon (Stanford University) February 5, 2024
Joshua Miele (Amazon Lab126 | UC Berkeley) February 1, 2024
Accessibility in the Open – Driving global disability equity through open source
Drago Anguelov (Waymo) January 25, 2024
Fei-Fei Li (Stanford University) January 18, 2024
Various Presenters (Allen School) January 11, 2024
Martin Tompa (Emeritus, Allen School) January 4, 2024
Various Presenters (Allen School) December 7, 2023
Liang Huang (Oregon State University | Coderna.ai) November 30, 2023
Bill Dally (NVIDIA) November 9, 2023
Various Presenters (Allen School) November 2, 2023
Various Presenters (Allen School) October 26, 2023
Byron Cook (Amazon | AWS) October 12, 2023
Dan Weld (Emeritus, Allen School | Allen Institute for Artificial Intelligence) October 5, 2023
Intelligence Augmentation: Effective Human-AI Interaction to Supercharge Scientific Research
Roy Want (Google) July 18, 2023
Next Generation Wi-Fi Positioning: An overview of the IEEE 802.11az protocol
Pat Hanrahan (Stanford University) May 16, 2023
Shading Languages and the Emergence of Programmable Graphics Systems
Sébastien Bubeck (Microsoft Research) April 25, 2023
Alexander Rives (Meta) April 20, 2023
Kawin Ethayarajh (Stanford University) April 18, 2023
Danijar Hafner (University of Toronto) April 17, 2023
Stephanie Wang (UC Berkeley) April 13, 2023
The Design of a General-Purpose Distributed Execution System
Ben Eysenbach (Carnegie Mellon University) April 11, 2023
Pavel Izmailov (New York University) April 4, 2023
Mitchell Gordon (Stanford University) April 3, 2023
Thierry Tambe (Harvard University) March 30, 2023
Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning
Sunoo Park (Columbia University) March 30, 2023
Peter Lee (Microsoft Research & Incubations) March 28, 2023
Eugene Bagdasaryan (Cornell University) March 27, 2023
(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy
Kelsey Allen (Deep Mind) March 16, 2023
Emily Wenger (University of Chicago) March 9, 2023
Nirvan Tyagi (Cornell University) March 6, 2023
Chinmay Nirkhe (UC Berkeley (IBM Quantum)) March 2, 2023
Hoon Cho (Broad Institute and MIT) February 28, 2023
Yang Liu (Stanford University) February 27, 2023
Lydia Liu (Cornell University) February 16, 2023
Ion Stoica (UC Berkeley) January 27, 2023
Telle Whitney (Co-Founder, GHC and NCWIT) January 19, 2023
Amin Vahdat (Google) January 12, 2023
Reinventing Computing: How necessity will transform next-generation infrastructure
Amit Levy (Princeton) January 11, 2023
Various Presenters (Allen School) December 1, 2022
Various Presenters (Allen School) November 17, 2022
Jenny Lay-Flurrie (Chief Accessibility Officer, Microsoft) November 10, 2022
Various Presenters (Allen School) November 3, 2022
Oren Etzioni (Emeritus, University of Washington / AI2 Incubator) October 27, 2022
What I learned: stories and lessons from an academic lifetime
Pedro Domingos (Emeritus - University of Washington) October 20, 2022
Pengyu Zhang (Alibaba Cloud) October 12, 2022
Various Presenters (Allen School) October 6, 2022