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RIKEN Mathematics & AI Symposium 2026

Mathematics and AI: Tokyo Symposium on the Mathematical Sciences and Formal Reasoning

This international symposium brings together leading researchers in the mathematical sciences, formal reasoning, and AI-driven discovery to explore the evolving relationship between mathematics and AI. The meeting will examine how AI is reshaping mathematical research, from conjecture and proof to formalization and discovery, while mathematics continues to provide fundamental ideas for the theory and reliability of modern AI. Held in Tokyo, the symposium aims to foster international dialogue and new collaborations at the interface of mathematics and AI.

Tutorial Lectures: Tuesday, August 18
Time Speaker Affiliation Title
13:00-14:00 Masaaki Imaizumi Johan Commelin Mathlib Initiative / Utrecht University A pragmatic introduction to Lean and Mathlib I
14:10-15:10 Taiji Suzuki Sergei Gukov California Institute of Technology / Merkin Center for Pure and Applied Mathematics AI for mathematics and long-horizon & sparse-reward tasks I
15:10-15:30 Coffee Break
15:30-16:30 Masaaki Imaizumi Johan Commelin Mathlib Initiative / Utrecht University A pragmatic introduction to Lean and Mathlib II
16:40-17:40 Taiji Suzuki Sergei Gukov California Institute of Technology / Merkin Center for Pure and Applied Mathematics AI for mathematics and long-horizon & sparse-reward tasks II
Symposium Day 1: Wednesday, August 19
Time Speaker Affiliation Title
9:30-9:45 Makoto Gonokami President, RIKEN Opening remarks
9:45-10:10 Hal Finkel Advanced Scientific Computing Research (ASCR), DOE TBA 
10:10-10:30 Coffee Break
10:30-11:30 Ravi Vakil Ravi Vakil Stanford University TBA
11:30-12:10 Shin-ichi Ohta Taiji Suzuki The University of Tokyo / RIKEN AIP Theory and methodology of diffusion models with science applications: Continuous and Discrete variables
12:10-13:30 Poster Session  + Lunch
13:30-14:30 Michael Douglas Michael Douglas Harvard University CMSA / Simons Collaboration on Physics of Learning and Neural Computation / AletheAI, Inc. AI-assisted math and theoretical physics
14:30-15:10 Taiji Suzuki Shin-ichi Ohta Osaka University / RIKEN AIP AI4Mathematicians: What do we want?
15:10-15:40 Coffee Break
15:40-16:20 Masaaki Imaizumi Masaaki Imaizumi The University of Tokyo / RIKEN AIP Mathematical Description on Principles of Deep Learning and AI: Precise Analysis of Dynamics via High-Dimensionality
16:20-17:00 Ayumi Igarashi Ayumi Igarashi The University of Tokyo / RIKEN AIP AI for collective decision making
Symposium Day 2: Thursday, August 20
Time Speaker Affiliation Title
9:30-10:30 Miranda Cheng  Miranda Cheng University of Amsterdam / Academia Sinica Institute of Mathematics / Simons Collaboration on Physics of Learning and Neural Computation TBA
10:30-11:00 Coffee Break
11:00-11:40  Yoh Tanimoto Yoh Tanimoto University of Rome Tor Vergata Formalising advanced mathematical definitions in Lean mathlib
11:40-13:20 Poster Session +  Lunch
13:30-14:30 Shirley Ho Shirley Ho Flatiron Institute / New York University / Polymathic AI TBA
14:30-15:10 Takaharu Yaguchi Takaharu Yaguchi Kobe University / RIKEN AIP Learning Geometric Structures in Physics
15:10-15:40 Coffee Break
15:40-16:40 Johan Commelin Johan Commelin Mathlib Initiative / Utrecht University TBA
16:40-17:20 Hitomi Yanaka Hitomi Yanaka The University of Tokyo / RIKEN AIP Exploring Compositional Meaning in Natural Language
Symposium Day 3: Friday, August 21
Time Speaker Affiliation Title
9:30-10:30 Ken Ono Ken Ono Axiom Math / University of Virginia Mathematics in the Age of AI: Discovery, Formalization, and the Future of Proof
10:30-11:00 Coffee Break
11:00-11:40 Akiyoshi Sannai Akiyoshi Sannai Kyoto University / Shiga University / RIKEN TRIP AI Math Referee: Verification, Autoformalization, and Beyond
11:40-13:20 Poster session + Lunch
13:30-14:30 Sergei Gukov Sergei Gukov California Institute of Technology / Merkin Center for Pure and Applied Mathematics AI tools for long-horizon, sparse-reward tasks
14:30-15:10 Akiko Takeda Akiko Takeda The University of Tokyo / RIKEN AIP Mathematical Optimization in the Age of AI
15:10-15:40 Coffee Break
15:40-16:20 Shohei Shimizu Shohei Shimizu Osaka University / Shiga University / RIKEN AIP Toward Causal Scientific Discovery with AI
16:20-16:30 Motoko Kotani Motoko Kotani Director, RIKEN Pioneering Research Institute (PRI) Closing remarks

Venue

RIKEN Tokyo Liaison Office

Nihonbashi 1-chome Mitsui Building (COREDO Nihonbashi), 15th floor,
1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan

Access map:
https://www.riken.jp/en/access/tokyo-map/index.html

RIKEN Tokyo Liaison Office

Speakers

Miranda Cheng

Miranda Cheng

University of Amsterdam Faculty of Science, Institute of Physics (ITF) / Academia Sinica Institute of Mathematics / Simons Collaboration on the physics of learning and neural computation

Johan Commelin

Johan Commelin

Director, Mathlib Initiative / Utrecht University Mathematical Institute

Michael Douglas

Michael R. Douglas

Senior Research Scientist, Center of Mathematical Sciences and Applications (CMSA), Harvard University / Simons Collaboration on Physics of Learning and Neural Computation / AletheAI, Inc.

Hal Finkel

Hal Finkel

Director (Acting), Computational Science Research and Partnerships (CSRP) Division, Office of Science, U.S. Department of Energy

Sergei Gukov

Sergei Gukov

John D. MacArthur Professor of Theoretical Physics and Mathematics, California Institute of Technology / Director, Merkin Center for Pure and Applied Mathematics

Shirley Ho

Shirley Ho

Group Leader, Cosmology X Data Science, CCA, Simons Foundation / Professor, Department of Physics and Center for Data Science, NYU / Principal Investigator, Polymathic AI

Ken Ono

Ken Ono

Mathematician, Axiom Math / Marvin Rosenblum Professor of Mathematics, University of Virginia

Ravi Vakil

Ravi Vakil

Robert Grimmett Professor of Mathematics, Stanford University / President, American Mathematical Society (AMS)

Ayumi Igarashi

Ayumi Igarashi

Associate Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Masaaki Imaizumi

Masaaki Imaizumi

Associate Professor, Komaba Institute for Science, the University of Tokyo / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Shin-ichi Ohta

Shin-ichi Ohta

Professor, Department of Mathematics, Osaka University / Visiting Researcher, RIKEN Center for Advanced Intelligence Project (AIP)

Akiyoshi Sannai

Akiyoshi Sannai

Program-Specific Associate Professor, Department of physics, Kyoto University / Shiga University / RIKEN TRIP

Shohei Shimizu

Shohei Shimizu

Professor, SANKEN, The University of Osaka / Professor (Distinguished Professor) and Team Leader, Advanced Causal Inference Research Group, DSAI Center, Shiga University / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Taiji Suzuki

Taiji Suzuki

Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Akiko Takeda

Akiko Takeda

Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Yoh Tanimoto

Yoh Tanimoto

Professor (full), Department of Mathematics, Università di Roma “Tor Vergata”

Takaharu Yaguchi

Takaharu Yaguchi

Professor, Department of Mathematics, Graduate School of Science, Kobe University / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Hitomi Yanaka

Hitomi Yanaka

Associate Professor, Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo / Team Director, RIKEN Center for Advanced Intelligence Project (AIP)

Host

This international symposium is jointly hosted by RIKEN Pioneering Research Institute (PRI), RIKEN Center for Advanced Intelligence Project (AIP), and RIKEN Mathematical, Computational and Information Science Domain