ML in PL Conference 2026: Tutorials

We are happy to announce ML in PL Conference 2026 Tutorials! During the 4-hour class, you will learn the practical aspects of the chosen topic. The tutorials are hosted in small groups of approximately 20 people, so get your ticket now to secure your place!

🗓️ Save the date: ML in PL Conference Tutorials will take place on 11 October 2026 at the Faculty of Physics, University of Warsaw!

Students (including PhD students) are eligible for a discount for the tickets. Use code MLSTUDENT at the checkout. Please upload a scan of your student ID during the checkout to confirm your eligibility for the discount. Otherwise, the eligibility will be checked at the venue.

Please bring your own laptop for the tutorial, and read the tutorial details to learn about extra prerequisites.

To receive an invoice for your ticket purchase, please select the invoice option during checkout and provide the necessary billing information.

Important Disclaimer Regarding Ticket Purchase: All ticket sales are final and non-refundable. 

Tutorials session 1 (9:00 - 13:00):

Tutorial 1: Controllable Generative Design of Biological Sequences
Conducted by Ewa Szczurek, Diogo Soares, Adam Bielecki, Serra Korkmaz, Adam Izdebski and Pankhil Gawade (Helmholtz Munich / University of Warsaw)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-1

Tutorial 3: Privacy in Machine Learning
Conducted by Franziska Boenisch, Aditya Kumar, Lorenzo Rossi, Antoni Kowalczuk, Bartłomiej Marek and Maitri Shah (CISPA / TU Munich)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-3

Tutorial 5: Introduction to Physics Neural Surrogates for Engineering and Healthcare
Conducted by Patryk Rygiel and Julian Suk (University of Twente / Amsterdam UMC / TU Munich)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-5

Tutorial 7: Fundamentals matter more than ever: package management & design patterns for coding
Conducted by Jan Karaś and Kacper Gutowski (CAIAK: Conference, AI and Kayaking)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-7

Tutorial 9: Cache Me If You Can
Conducted by Maciej Draguła and Nathan Maurice (Tenstorrent)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-9

Tutorials session 2 (14:00 - 18:00):

Tutorial 2: Build Your Own 3D Scene: An Introduction to Gaussian Splatting
Conducted by Grzegorz Wilczyński, Mikołaj Zieliński, Weronika Smolak-Dyżewska and Przemysław Spurek (Jagiellonian University / IDEAS Research Institute / Poznań University of Technology)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-2

Tutorial 4: Security in Machine Learning
Conducted by Adam Dziedzic, Bihe Zhao, Louis Kerner, Michel Meintz and Maitri Shah (CISPA)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-4

Tutorial 6: Reinforcement learning using IdeGYM: power of IDE as your reward
Conducted by Patrik Bartak and Vseslav Kasatskii (JetBrains)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-6

Tutorial 8: Evaluating LLMs on HPC Clusters: A Step-by-Step Introduction to Slurm with PLLuM
Conducted by Wojciech Kusa, Katarzyna Lorenc, Grzegorz Statkiewicz and Marcin Bagnowski (NASK National Research Institute)
Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-8

Tutorial 10: Driving Real Particle-Physics Simulations with a Coding Agent
Conducted by Leszek Grzanka and Kamil Milewski (Cyfronet / CERN)

Find more about this tutorial on our webpage: https://conference.mlinpl.org/2026/program#tutorial-10

To learn more, visit our website:

👉 ML in PL Conference 2026 website: https://conference.mlinpl.org/
👉 ML in PL Association website: https://mlinpl.org/

Stay in touch with us via our social media:
👉 Facebook page: https://www.facebook.com/MLinPL
👉 LinkedIn: https://www.linkedin.com/company/mlinpl
👉 Twitter: https://twitter.com/mlinpl