The Machine Learning Summer School (MLSS) series, established in 2002, aims to advance knowledge in modern statistical machine learning and inference. Recognizing the growing demand for machine learning expertise, MLSS bridges the gap for students and researchers by providing intensive courses on topics ranging from fundamentals to state-of-the-art methods. We are proud to bring this globally renowned series to West Africa for the first time, with Senegal as our host country. MLSS Senegal 2025 offers PhD students and advanced learners a unique opportunity to engage with top experts and explore cutting-edge techniques in machine learning.

Speaker Lineup Preview – More to Come!

Venue

Dates: June 23 - July 4

Location: The African Institute for Mathematical Sciences AIMS-Senegal

AIMS Mbour is a scenic location situated along the Atlantic coast of Senegal. The venue is approximately a 1.5-hour drive from Dakar city center and around 30 kilometers from Blaise Diagne International Airport, offering convenient access for international participants.

Application

Application Period: December 15 - February 28

Notification of Acceptance: March 31

Fees: $450 due on April 23

The application process is open to PhD students, post-docs, and other advanced learners. Applicants are required to submit a one-page self-recommendation letter explaining how the summer school will benefit them, along with a one-page CV summarizing their contributions in machine learning.

Applications must be submitted through the Application Form .

Please note that the registration fee does not include accommodation. Participants are kindly expected to arrange their own lodging. To assist with this, we will provide detailed travel and accommodation information on our website in the coming weeks ...

Sponsors

We are grateful for the support of our sponsors:

Coordinators

If you’re interested in contributing to MLSS Senegal 2025, we welcome your support and ideas. Together, we aim to create a transformative learning experience for all participants. We are also deeply grateful for the invaluable support of local contributors, international advisors, and volunteers whose efforts ensure the success of this event. A full list of contributors and collaborators will be shared as the event approaches.