Annual Summer School on Mathematical Aspects of Data Science 2027

Overview

The aim of the Annual Summer School on Mathematical Aspects of Data Science is to cover the foundations of mathematical tools and techniques in modern data science and machine learning. Specific topics will be optimization in data science and machine learning, tools from high-dimensional probability theory, the use of AI in mathematics and data science and more.

The school is targeted primarily at PhD students, but is also open to others interested in the topic such as Master students or postdocs.

It is the fourth in a series of schools following Darwin 2024, Lausanne (Bernoulli Center) 2025 and and Singapore (NUS) 2026.

It will take place at House of Bavarian Agriculture in Herrsching (close to Munich) at the beautiful lake Ammersee.

Lecturers

The scientific lectures will be given by the following distinguished speakers:

• Louis-Pierre Chaintron (EPF Lausanne)
• Suvrit Sra (TU Munich)
• Roman Vershynin (University of California, Irvine)
• Rachel Ward (University of Texas at Austin)
• NN

Organizers

• Frank Filbir (TU Munich)
• Massimo Fornasier (TU Munich)
• Holger Rauhut (LMU Munich)
• Shahar Mendelson (Texas A&M University)

Venue

The lectures of the school will take place at the House of Bavarian Agriculture in Herrsching where we have reserved enough rooms for all the participants (single rooms and double rooms available). Meals will also take place here.

The costs for the accommodation and meals will be charged directly by the House of the Bavarian Agriculture to the Participants.

Registration Fee

The registration fee will be 100 Euro per participant.

Application

We will soon open the system for application. Application deadline is expected to be in December. We plan to notify successful applicants in January who can then register for the school.