[ABE-L] Escola "Mathematical Aspects of Data Science" (junho 2026)

['Roberto Imbuzeiro Oliveira' via abe-l@ime.usp.br]

Colegas,

Este é o terceiro evento de uma série que tem como objetivo apresentar a
área de "Ciência de Dados" de uma perspectiva matemática. Serão oferecidos
minicursos (semana 1) e palestras (semana 2) num nível adequado para alunos
de doutorado e jovens pesquisadores em Probabilidade/Estatística,
Otimização e assuntos relacionados.

O evento será em Singapura, mas há recursos para financiar a participação
de estudantes do mundo todo.

Atenciosamente,
Roberto

-----

*Annual Summer School on *

*Mathematical Aspects of Data Science*

(Singapore, 22 Jun 2026 – 01 Jul 2026)



*Link to website & application form*:
https://ims.nus.edu.sg/events/ma_datascience2026/



*We are now accepting applications for attendance (deadline: February 27,
2026)*



*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
(Part 1) will consist of tutorial-style introductions to selected topics in
this domain, and the final 3 days (Part 2) will consist of two-part talks
covering introductory/tutorial content and recent research. This school is
the third in the series following Darwin 2024
<https://maths.anu.edu.au/news-events/events/annual-graduate-school-mathematical-aspects-data-science>
 and Switzerland (Bernoulli Center) 2025 <https://mathsdata2025.github.io/>.




*Activities*

*Format of Summer School:*

   - First 5 days (Part 1): Six speakers delivering multi-session
   lectures/tutorials.
   - Final 3 days (Part 2): Additional speakers giving single-session talks
   with an ‘introduction/mini-tutorial’ component and a ‘recent research’
   component.



*Speakers for Mini-Courses in Part 1:*

   - Nicolò Cesa-Bianchi (University of Milan, Italy) *[Topic: Sequential
   decision-making]*
   - Shuangping Li (Yale University, USA) *[Topic: Statistical physics of
   computational problems]*
   - Stanislav Minsker (University of Southern California, USA) *[Topic:
   Moment and deviation inequalities for random matrices]*
   - Ankur Moitra (Massachusetts Institute of Technology, USA)
   - Shay Moran (Technion, Israel) *[Topic: PAC learning and beyond]*
   - Roberto Imbuzeiro Oliveira (IMPA, Brazil)
   - Alexandre Tsybakov (CREST-ENSAE Paris, France) *[Topic: Online
   learning]*



*Speakers for Part 2 : *

   - Arnab Bhattacharrya (University of Warwick, UK) *[Topic: Causal
   discovery]*
   - Sinho Chewi (Yale University, USA) *[Topic: Sampling]*
   - Kevin Jamieson (University of Washington, USA) *[Topic: Bandits and
   RL]*
   - Holden Lee (Johns Hopkins University, USA)* [Topic: TBC]*
   - Jasper Lee (University of California Davis, USA) *[Topic: All-purpose
   mean estimation]*
   - James Saunderson (Monash University, Australia) *[Topic:
   Sparsification]*
   - Van Vu (Yale University, USA) *[Topic: Matrix perturbation bounds and
   their applications]*
   - Pengkun Yang (Tsinghua University, China) *[Topic: Functional
   estimation]*
   - Pierre Youssef (New York University, Abu Dhabi)* [Topic: Random
   matrices & deep neural nets]*
   - *(More names will be added later) *



*Organizing Committee Members:* Daniel Bartl (NUS), Shahar Mendelson (Texas
A&M), Jonathan Scarlett (NUS), and Roman Vershynin (UC Irvine)

--
Roberto Imbuzeiro Oliveira
Professor, IMPA
rimfo em impa.br, rob.oliv em gmail.com
sites.google.com/view/roboliv
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