Annual Summer School on Mathematical Aspects of Data Science

(22 Jun 2026–01 Jul 2026)

Organizing Committee

  

Members

 

Contact Information

Contact person: Jonathan Scarlett scarlett(AT)comp.nus.edu.sg

Overview

This is a summer school targeted primarily at PhD students (and also open to others such as Masters and post-docs), covering the foundations of mathematical tools and techniques in modern data science. The first 5 days (Week 1) will consist of tutorial-style introductions to selected topics in this domain, and the final 3 days (Week 2) will consist of two-part talks covering introductory/tutorial content followed by recent research. This school is the third in the series following Darwin 2024 and Switzerland (Bernoulli Center) 2025.

Activities

Format of Summer School:

  • First 5 days (Week 1): Six speakers delivering multi-session lectures/tutorial.
  • Final 3 days (Week 2): A larger number of speakers giving single-session talks with an ‘introduction/mini-tutorial’ component and a ‘recent research’ component.
  • Both weeks: Discussion sessions and possible poster sessions

Speakers of Mini-Courses in Week 1:

  • Nicolò Cesa-Bianchi (University of Milan, Italy)
  • Shuangping Li (Yale University, USA)
  • Stanislav Minsker (University of Southern California, USA)
  • Ankur Moitra (Massachusetts Institute of Technology, USA)
  • Shay Moran (Technion, Israel)
  • Alexandre Tsybakov (CREST-ENSAE Paris, France)

Speakers on Week 2 (more names will be added): 

  • Arnab Bhattacharrya (University of Warwick, UK)
  • Sinho Chewi (Yale University, USA)
  • Kevin Jamieson (University of Washington, USA)
  • Holden Lee (Johns Hopkins University, USA)
  • Jasper Lee (University of California Davis, USA)
  • Pengkyun Yang (Tsinghua University, China)
DateAbstract
Week 1: Mini-Courses 22–26 Jun 2026N/A
Week 2: Research Talks 29 Jun–01 Jul 2026N/A

Venue

IMS Executive Seminar Room

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