eventWorkshop
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
As AI agents become central to scientific discovery at the Center for Decoding the Universe, we need systematic evidence on when they aid replication and when they fail to do so. We will attempt to reproduce key results and analyses from research papers using AI agents, as well as directly with domain-expert scientists, documenting what works and what doesn't.
The day will consist of two morning keynotes, followed by hands-on hacking sessions, and will conclude with individual or team presentations.
We encourage you to join together with your research group, as this activity is particularly beneficial for students and postdoctoral researchers. We especially encourage you to bring a paper to replicate (ideally with available data/code).
Through this hackathon, we are also building community across KIPAC, SLAC, HAI/SDS, and CS while advancing our understanding of AI-enabled science.
Email datascience@stanford.edu from your Stanford account to receive the registration password.
| Time | Session Title | Speaker(s) |
| 09:00 - 09:30 AM | Registration & Light Breakfast | |
| 09:30 - 09:45 AM | Official Start & Welcome | Session Chairs: Risa Wechsler Marcelo Alvarez Kate Storey-Fisher Owen Queen |
| 09:45 - 10:45 AM | Lightning Pitches & Team Formation | |
| 10:45 - 11:25 AM | Keynotes: | |
| Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents | Jiacheng Miao, Stanford Data Science | |
| Reflections on the Present and Future of AI Capabilities | Siddharth Mishra-Sharma, Anthropic/Boston University | |
| 11:25 AM - 12:30 PM | Hack Session 1 | |
| 12:30 - 1:20 PM | Lunch & Informal Discussions | |
| 1:20 - 3:45 PM | Hack Session 2 | |
| 3:00 - 3:20 PM | “Fuel the Hack” with Coffee & Tea | |
| 3:45 - 4:15 PM | Wrap-up & Slide Preparation | |
| 4:15 - 5:00 PM | Share Out | Session Chair: Ioana Ciucă |
| 5:00 - 5:30 PM | Awards & Reception | Judging Committee: Risa Wechsler, Susan Clark, Yijia Shao, Jan Czalbowski, and Bartek Nowacki |
The hackathon is led by a dynamic organizing team: Marcelo Alvarez, Ioana Ciucă, Steven Dillmann, Owen Queen, Kate Storey-Fisher, and Christine Ye.
Advisors: Risa Wechsler, Susan Clark, and Ben Nachman.
