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Bay Area Frontier Research Club #8 | Stanford University (dinner + paper discussion)
The Bay Area Frontier Research Club is a curated forum for rigorous discussion on how AI is reshaping the scientific research process. We convene experimental researchers, computational scientists, & research engineers across domains to examine concrete work-papers, methods, & workflows-covering literature synthesis, hypothesis generation, experimental design, simulation, analysis, & reproducibility.
For each session, we curate 2-3 papers selected for rigor & discussion value. Presentations are intentionally brief so the majority of time is reserved for questions & critique: assumptions, evaluation methodology, failure modes, & what would constitute convincing evidence. Papers & supporting materials are shared in advance to ensure a high-baseline conversation.
Agenda
5:30pm: Doors open
5:30pm - 6:30pm: Networking + light dinner
6:30pm - 8:00pm: Research presentations + discussion
8:00pm - 8:30pm: Networking
Want to present your work?
If you have a research paper you'd like to discuss at one of our next sessions, please submit it for consideration.
SUBMIT YOUR PAPER HERE.
Who should attend
Experimental researchers
Computational scientists across domains (bio/chem/materials/climate/neuro/physics)
Research engineers + lab automation people
Folks building tools for literature review, experiment planning, robotics, simulation, or scientific data
No ML background required. If you've ever wished research moved faster, you belong here.
Capacity is limited.
We will take photos & short video clips for event recap & promotion. By attending, you consent to being photographed & recorded, & to the use of those images & clips by the organizers on social media & other event marketing channels.
Last Session Recap - Google Ventures, May 20
Our seventh session packed 75+ researchers, founders, & investors into Google Ventures for four frontier talks & Q&A:
Bonnie Li (Google DeepMind) - scaling RL compute for LLMs
Kanishk Gandhi (Stanford) - the cognitive behaviors that let models self-improve
Erica Zhang (Stanford / Jump Trading) - evaluating LLMs when the domain isn't verifiable
Vignesh Baskaran (Hexo Labs) - the first public preview of SIA, a self-improving agent framework
Presentation Recordings are going up on our YouTube channel, @FrontierResearchClub.
Hosted by
Frontier Syndicate is a private venture circle connecting frontier tech researchers, builders, & investors through curated convenings & early-stage capital. Across the Bay Area, we host a recurring series of research forums, builder nights, & intimate investor dinners - & back exceptional companies emerging from the labs, communities, & technical networks we convene.
Hexo Labs is a neolab for recursive self intelligence, building open agent systems that help scientific discovery take shape.
Hexo is working to make scientific discovery faster, more inspectable, & more capable of translating breakthrough ideas into real-world impact.
On May 21, Hexo will release SIA, its open-source self-improving agent framework: a system for agents that learn from experiments, evaluate their own progress, & refine their methods over time.
BASES (Business Association of Stanford Entrepreneurial Students) is one of the world's largest & most established student-run entrepreneurship organizations. Founded in 1996, it serves as the hub for student entrepreneurship at Stanford University, bridging the gap between academia, innovation, & industry.
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