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Mathematics for our Health (M4H) Workshop, 2026

Aula Rogers, Building 11, Via Ampère 2, 20133 Milan, Italy

Registration:

About

The second M4H workshop brings mathematics, data science and medical research together to improve care. Mathematical models, numerical methods, statistics and machine learning support precision medicine, healthcare-resource allocation and multimodal patient-data analysis. Keynotes examine evolutionary cancer treatment and model-driven digital twins, longitudinal health records, topology and geometry for cyclic gene expression, statistical approaches to individual mental-health variation and patient-specific blood-flow simulation. Panels connect these methods with cardiovascular medicine, health data science and sustainable brain health.

The Department of Mathematics at Politecnico di Milano hosts the in-person workshop on 11–13 November 2026 in Aula Rogers, Building 11, Via Ampère 2, Milan. Posters use Aula Vetrata, Trifoglio Building 13, Via Bonardi 9. The programme runs 11 November 14:00–19:30, 12 November 09:00–18:10 and 13 November 09:00–16:00. Times are Europe/Rome, CET (UTC+01:00). Registration is free and open until 15 October through the form on the official workshop page. Speaking slots are invitation only; general attendance is open, and participants may submit poster abstracts.

Organizing team

  • Andrea Signori — Department of Mathematics, Politecnico di Milano
  • Francesca Bonizzoni — Department of Mathematics, Politecnico di Milano
  • Francesco Regazzoni — Department of Mathematics, Politecnico di Milano
  • Ivan Fumagalli — Department of Mathematics, Politecnico di Milano
  • Stefano Pagani — Department of Mathematics, Politecnico di Milano

Guest speakers

  • Alexander R. A. Anderson — H. Lee Moffitt Cancer Center & Research Institute
  • Andre Marquand — Donders Institute / Radboud University Medical Centre
  • Charles Taylor — Department of Internal Medicine and Oden Institute, University of Texas at Austin
  • Jessica Barrett — MRC Biostatistics Unit, University of Cambridge
  • Kathryn Hess Bellwald — Brain Mind Institute and Mathematics Institute, EPFL

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