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Boston Computation Club

Boston Computation Club

Max von Hippel 89 Episodes Sep 8, 2026

The Boston Computation Club is a small seminar group focused on mathematical computer science and computational mathematics. It is named after the London Computation Club and meets roughly every other week on weekends around 5pm EDT, depending on speaker availability. Each meeting typically features a 20-minute presentation followed by 40 minutes of discussion. Some sessions are posted on YouTube and in podcast form.

Episodes

Sum-check protocol: categorical view, Alex Sorokin
Sum-check protocol: categorical view, Alex Sorokin Sep 8, 2026 00:46:26 Alex is a friend of mine and a mathematician.  He did his PhD in mathematics with other Alex (Martsinkovsky), who has presented at the seminar group previously.  We're huge fans of both Alexes at the Boston Computation Club and we hope you enjoy this talk as much as we did!
P-stability for 3-uniform Hypergraphs, Daniel Yu
P-stability for 3-uniform Hypergraphs, Daniel Yu Sep 8, 2026 01:04:11 Today Daniel Yu gave a pure math talk on an extension he performed independently of work he had conducted during his math semester abroad in Budapest.
Understanding patterns of adoption and adaptation of open models on local systems, Woohyeuk (Kevin) Lee
Understanding patterns of adoption and adaptation of open models on local systems, Woohyeuk (Kevin) Lee Sep 8, 2026 00:35:12 Today Woohyeuk (Kevin) Lee joined us to discuss local AI (and the question of just how local it really is). This is exciting work at the intersection of computer science and social science! Enjoy.
Cellular automata and artificial life in the deep learning era, Casey Martin
Cellular automata and artificial life in the deep learning era, Casey Martin Sep 8, 2026 01:09:13 Casey Martin is a dirtbag intellectual, local savant, and recent PhD in the Boulder metro area. He's a party favorite and today he joined us to discuss cellular automata and their generalizations. Enjoy!
06/26/26: Tracing Introspection Across Model Depth, Zach Maas
06/26/26: Tracing Introspection Across Model Depth, Zach Maas Jul 3, 2026 00:48:13 Zach Maas is an independent AI safety & mechanistic interpretability researcher in Boulder, Colorado, funded by Coefficient Giving. Today Zach joined us to talk about some of his recent work tracing introspection across model depth. This is, I think, the first mech interp talk we've hosted other than ChessGPT, and it was a good one! We hope you enjoy it as much as we did!
An Extremely Short Proof of the Hairy Ball Theorem with Peter McGrath
An Extremely Short Proof of the Hairy Ball Theorem with Peter McGrath Apr 18, 2026 00:58:26 Today Peter McGrathAn Extremely Short Proof of the Hairy Ball Theorem. Peter is a professor of mathematics at NC State, where he researches geometric analysis, minimal surfaces, PDEs. Today's talk was an elegant presentation of the classical result -- Peter makes it accessible, and explains each concept in a clear and transparent manner. This was a really fun talk and really back to our roots
Logic.py: Bridging the Gap between LLMs and Constraint Solvers with Pascal Kesseli
Logic.py: Bridging the Gap between LLMs and Constraint Solvers with Pascal Kesseli Mar 9, 2026 00:57:03 Pascal Kesseli is a software engineer and technical lead at Microsoft AI, with a PhD in Computer Science from Oxford (or a DPhil? Or whatever they call PhDs on that side of the pond). Today Pascal joined us to discuss work he completed while at META FAIR, focused on the conjoining of large language models with symbolic reasoning systems (ultimately, dispatch to SAT) as well as future research dire
2/17/26: Approximately Aligned Decoding with Daniel Melcer
2/17/26: Approximately Aligned Decoding with Daniel Melcer Feb 18, 2026 00:48:59 Daniel Melcer is a PhD student at Northeastern University, where he researches formal methods, reinforcement learning, and large language models, among other things. Daniel also has the most colorful hair in the business (bright red for this talk, other colors for other occasions). Today he joined us to talk about some really exciting work he completed at Amazon, and to expand on his general visio
02/06/26: Early experiments in FMxAI at Galois with Max von Hippel
02/06/26: Early experiments in FMxAI at Galois with Max von Hippel Feb 7, 2026 00:54:29 Max von Hippel is ... me, the organizer and founder of the Boston Computation Club. Today I hosted an extremely informal event to chat about some of the early experiments in FMxAI I was involved with at Galois, two years ago.
VeriExploit: Automatic Bug Reproduction in Smart Contracts via LLMs and Formal Methods, Chenfeng Wei
VeriExploit: Automatic Bug Reproduction in Smart Contracts via LLMs and Formal Methods, Chenfeng Wei Jan 17, 2026 00:41:58 Chenfeng Wei is a PhD student at the University of Manchester, where he researches formal guarantees for large language models. Today he joined us to talk about his latest work exploring bugs in smart-contracts. This is a really interesting project at the intersection of explainable AI, smart contract debugging/security, and cybersecurity/symbolic analysis, and I hope you enjoy it as much as we di
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths - Xiao Mao
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths - Xiao Mao Jan 5, 2026 00:57:57 Today Xiao Mao joined us to discuss his groundbreaking work, Breaking the Sorting Barrier for Directed Single-Source Shortest Paths. It's not every day you beat Djikstra at something. This was a good one. Thank you for talking to us, Xiao!
Infecting Generative AI with Viruses - David A. Noever and Forrest McKee
Infecting Generative AI with Viruses - David A. Noever and Forrest McKee Sep 15, 2025 00:59:55 David A. Noever and Forrest McKee are researchers at PeopleTec, where they work on problems at the intersection of security, defense, and AI/ML. Today David joined us to present their joint work Infecting Generative AI with Viruses. This was a really great presentation that took a rigorous approach to defining the security boundaries and limitations of AI tools, and it fostered one of the better

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