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AxIOM

Machine Learning for Mathematics March 01, 2027 to March 26, 2027
Organizers LEAD Mohammed Abouzaid (Stanford University), Otis Chodosh (Stanford University), Eric Ramos (Stevens Institute of Technology), Kyler Siegel (University of Southern California), Rachel Ward (University of Texas at Austin)
Description
Mlfm 2027 image abouzaid.2025.10.01
The AxIOM, Machine Learning for Mathematics, is a 4-week long program designed to bridge the gap between mathematical research and machine learning. Inspired by recent breakthroughs the program will facilitate a collaboration between ML experts and mathematicians to tackle long-standing conjectures in Combinatorics and Algebra, Topology, Geometric Analysis, and Applied Mathematics. The organizers for these topics are Eric Ramos, Kyler Siegel, Otis Chodosh, and Rachel Ward, with lead organizer Mohamed Abouzaid. The workshop will seek to identify research problems suitable for ML methods and to develop open-source computational alternatives to proprietary tools. Participants will work in focused groups to generate new research projects and to understand how the emerging methods of ML for math can be applied in their field. The program's structure emphasizes hands-on, cross-disciplinary problem solving through a mix of overview lectures and interactive working groups. This collaborative environment aims to produce a "road plan" for the future of ML-aided mathematics, ensuring that the latest techniques are accessible and reproducible across the broader mathematical community. How to Apply Applications are open via MathPrograms.org between February 1 through March 31, 2026 for visits of 1 week to 4 weeks during the program dates in Spring 2027. Apply via MathPrograms.org by March 31, 2026 Eligibility  Researchers with a PhD (or equivalent) or advanced graduate standing at the time of the AxIOM program. Researchers must be in residence for at least one week, and preference may be given to those who can attend for longer periods.  Participant Support SLMath will provide local accommodation or reimburse participants for out-of-pocket lodging costs. SLMath is committed to maintaining family-friendly policies and, when possible, facilitating appropriate arrangements for partners and children of program members. Learn more about Childcare Grants for members with children ages 17 and under. Application Requirements Curriculum Vitae Publication list Statement of purpose One letter of support
Keywords and Mathematics Subject Classification (MSC)
Tags/Keywords
  • heuristics

  • search strategies

Primary Mathematics Subject Classification
Secondary Mathematics Subject Classification No Secondary AMS MSC
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