Talks & service

Speaking across fields, building spaces for exchange.

My talks connect algebraic geometry, statistics, and learning theory. My service works on the same problem at a community scale: creating settings where researchers can build a shared language, test ideas, and begin collaborations.

Upcoming

Where to find me.

  1. Mathematics Colloquium, Nanjing University

    Nanjing, China

  2. Foundations of Interpretability

    IPAM, UCLA · Los Angeles, USA · workshop participant

  3. Machine Learning in Life Science (MLLS) Seminar

    Invited talk · Copenhagen, Denmark

  4. Singular Learning Theory Days

    MPI-CBG · Dresden, Germany · organizing · Registration

  5. Metric Algebraic Geometry — Going Global

    Semester participant at ICERM · Providence, USA

Selected invited talks

Ideas in conversation.

  1. Machine Learning Seminar, École Normale Supérieure

    Structure, Symmetry and Singularity in Modern Neural Networks · Paris, France

  2. Geometry, Topology and Machine Learning

    Basin Selection in Bayesian Learning · Sorbonne Université, Paris

  3. Applied CATS Seminar, KTH

    Grokking as a Phase Transition Between Competing Basins: a Singular Learning Theory Perspective · Stockholm, Sweden

  4. Mathematical Foundations of AI, Lie–Størmer Colloquium

    Structure, Symmetry and Singularity in Learning Systems · Simula Research Laboratory, Oslo

Full list in my CV

Organizing & academic service

Creating the connective tissue.

Joint Mathematics Meetings

I helped organize special sessions on Algebraic Methods in Machine Learning and Optimization at JMM 2025 and 2026.

XRDS: Crossroads

Editor in Chief from 2022 to 2025, after serving as Feature Editor and Lead Editor. I helped shape issues at the intersection of computing research, practice, and society. Selected writing

Peer review

Reviewer for NeurIPS, ICML, ICLR, Algebraic Statistics, SIAM Journal on Applied Algebra and Geometry, and MEGA.