Max von Hippel

Boston Computation Club

Science EN ↓ 85 episodes

The Boston Computation Club is a small seminar group focused on mathematical computer science, and computational mathematics. Its name is plagiarized from the London Computation Club. Boston Computation Club meetings occur roughly every other week, on weekends, around 5pm EDT (modulo speaker availability). The usual format is a 20m presentation followed by 40m of discussion. Some, but not all, meetings are posted on YouTube and in podcast form.

Author

Max von Hippel

Category

Science

Podcast website

podcasters.spotify.com

Latest episode

Jul 3, 2026

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Episodes

06/26/26: Tracing Introspection Across Model Depth, Zach Maas 03.07.2026

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 18.04.2026

Today Peter McGrath An 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 root...

Logic.py: Bridging the Gap between LLMs and Constraint Solvers with Pascal Kesseli 09.03.2026

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 18.02.2026

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 07.02.2026

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 17.01.2026

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 05.01.2026

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 15.09.2025

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...

08/15/25: An LLM Agent for Functional Bug Detection in Network Protocols with Mingwei Zheng 15.08.2025

Mingwei Zheng a Ph. D. candidate in the  Department of Computer Science  at  Purdue University , advised by  Prof. Xiangyu Zhang  since 2021. Before that, she received her Bachelor’s degree in Computer Science and Technology from Huazhong University of Science and Technology in 2020. Mingwei's research lies at the intersection of Large Language Models (LLMs) and Software Engineering. She build...

08/01/25: Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification with Kaiyu Yang 02.08.2025

Today Kaiyu Yang from Meta joined us to discuss formal reasoning using LLMs, particularly in the context of interactive theorem provers.  This is a really fast-moving and exciting field in which reinforcement learning and theorem proving combine to provide a new frontier for fully automated reasoning, and Kaiyu is at the bleeding edge of it.  We were really lucky to get an hour of Kaiyu's time...

07/25/25: RefinedC: Automating the Foundational Verification of C Code with Refined Ownership Types with Michael Sammler 25.07.2025

Michael Sammler n assistant professor leading the  Programming Languages and Verification Group  at the  Institute of Science and Technology Austria (ISTA) . Today he joined us to talk about his three primary projects: RefinedC , which uses a refinement and ownership type system to verify C code,  Islaris , which shows how to scale verification of assembly code to realistic models of real-world ar...

06/20/25: TypeScript Types Can Run DOOM with Dimitri Mitropoulos 22.06.2025

Dimitri Mitropoulos is a Michigan-based typescript dev, linguist, and classicist who joined us to talk about his completely unhinged, odyssean, and frankly just unwise project to get DOOM running completely within Typescript's type system. Someone give the dude a PhD, please.

06/13/25: Gradual Verification with Jenna DiVincenzo 14.06.2025

Jenna DiVincenzo is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering @ Purdue University. She is broadly interested in research spanning software verification, programming languages, and software engineering, especially research aimed at making verification techniques and programming languages more usable and scalable. Today Jenna joined us to talk about he...

05/07/25: Exploring Zero-Shot Prompting for Generating Data Format Descriptions, Prashant Anantharaman 08.05.2025

Prashant Anantharaman is a long-time BCC group member and has presented as both a solo researcher and a panelist to prior events. Today he joined us to present some of his work with NARF, to appear at IEEE S&P, on generating grammars for fuzzing using LLMs. This is a super exciting new frontier for LLMs and LangSec generally and his talk was wonderful.

04/18/25: Descriptive Complexity with Ramit Das 19.04.2025

Ramit Das is a formal verification engineer at Intel and an avid Boston Computation Club group member. Ramit and I have been speaking for ages about formal methods, exchanging papers, etc. and today he finally agreed to come give a talk to the group about his area of expertise -- descriptive complexity. This was a really fun talk and an excellent introduction for anyone looking to get their feet w...

03/21/24: How and Why to extend First Order Logic for Knowledge-Based Systems with Marc Denecker 05.04.2025

Today Marc Denecker joined us to present How and Why to extend First Order Logic for Knowledge-Based Systems . This presentation provided the setup for a follow-on that Marc's student Simon Vandevelde is set to give on IDP-Z3, a formal reasoning machine that Marc and Simon have built. This was a really interesting talk touching on a variety of forms for formal logic, decision procedures, and i...

04/04/25: Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars with Daniel Melcer 05.04.2025

Today Daniel Melcer joined us to present Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars (https://arxiv.org/pdf/2402.17988). This is work he completed while at Amazon, and it's a really interesting project around how to constrain, guide, and check language models such that they generate valid code within a given context. We r...

03/08/25: An Introduction to LiquidHaskell with Michael H. Borkowski 08.03.2025

Michael H. Borkowski is an Assistant Professor of Practice in the Department of Computer Science at Purdue University. Before joining Purdue, he earned his Ph. D. from the Department of Computer Science and Engineering at UC San Diego, where he was affiliated with the ProgSys Group. Today Michael joined us to discuss LiquidHaskell, a very cool project that incorporates a kind of refinement types,...

01/10/25: Combining Causal Inference and Knowledge Graphs with Brook Santangelo and John Sterrett 10.01.2025

Today Brook Santangelo  and  John Sterrett

01/04/25: Hacking GenAI with LLM Red Teaming and Beyond with Gaspard Baye 10.01.2025

Gaspard Baye is a Cyber AI Ph. D. Candidate at the University of Massachusetts Dartmouth , where he researches AI-driven offensive and defensive security applications. Today Gaspard joined us to present "Hacking GenAI with LLM Red Teaming and Beyond" based on his recent DefCon talk. This was a really fun event with a great Q&A. Thanks to Jacob from the Trust Lab for hosting!

11/30/24: LB4TL: A Smooth Semantics for Temporal Logic to Train Neural Feedback Controllers with Navid Hashemi 01.12.2024

Navid Hashemi recently defended his PhD at USC and is about to begin a post-doc at Vanderbilt.  His research focuses on the intersection of Artificial Intelligence and Temporal Logics, with applications in Formal Verification of Learning Enabled Systems and Neurosymbolic Reinforcement Learning.  Today Navid joined us for a really exciting presentation about his work on metrizable logics for reinfo...

11/17/24: When Static Analysis Meets Large Language Models with Chengpeng Wang 18.11.2024

Chengpeng Wang working with Prof.  Xiangyu Zhang . His research focuses on program analysis, especially software analysis, and in particular how existing analysis techniques intersect with emerging approaches from AI such as Large Language Models. Today Chengpeng joined us to talk about his recent NeurIPS paper proposing a novel static analysis technique based on LLMs. The technique is very intere...

10/05/24: Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem with Harry Eldridge 06.10.2024

Harry Eldridge is a Cryptography PhD student at Johns Hopkins, advised by  Abhishek Jain  and  Matthew Green . His research (so far) touches on security and privacy implications of commodity hardware, which is a fascinating topic deserving of the mathematically disciplined, cryptographically informed approach his lab takes to such problems. Today Harry joined us to talk about his research into the...

09/28/24: Hacking an LLM Using the Z3 Theorem Prover with Ian Bicking 28.09.2024

Ian Bicking is an engineer at Brilliant, which is also what he is. (Sorry, dad joke). Ian joined us today to talk about his super charming (and extremely interesting) weekend of experiments hacking various LLMs to solve puzzles using z3. The presentation was roughly the first 2/3 of the event and the remaining third presented a fantastic conversation about the future of AI, tool use, chain and tre...

09/07/24: Shaken, not Stirred -- Automated Discovery of Subtle Attacks on Protocols using Mix-Nets with Dhekra Mahmoud 07.09.2024

Dhekra Mahmoud at  LIMOS  in Clermont-Ferrand, France, where she researches the formal analysis of cryptographic protocols under the supervision of  Pascal Lafoucade  and  Jannik Dreier . Today Dhekra joined us to present her recent USENIX paper Shaken, not Stirred -- Automated Discovery of Subtle Attacks on Protocols using Mix-Nets. This was a really interesting presentation with a good conversat...

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