ML in PL

Reliability and safety remain central themes of MLSS R&S 2026, explored from multiple research perspectives. We’re pleased to introduce the final speaker contributing to this year’s programme.

🎤 Nikolay Malkin is a Chancellor's Fellow in Informatics at the University of Edinburgh and a fellow of CIFAR's Learning in Machines and Brains programme. Their research focuses on algorithms for probabilistic inference and Bayesian machine learning, with applications in generative modelling, neurosymbolic AI, and machine reasoning. Within machine learning, Nikolay's work explores modelling of Bayesian posteriors over high-dimensional and structured variables, induction and discovery of compositional structure in generative models, and neurosymbolic methods for uncertainty-aware reasoning in language and formal systems. Their work has found applications in pure and applied sciences, including inverse imaging, remote sensing, discovery of novel biological and chemical structures, and, most recently, robot control. Nikolay holds a PhD in mathematics from Yale University (2021) and was previously a postdoctoral researcher at Mila – Québec AI Institute in Montréal (2021 to 2024).

🎟 Late registration is open until May 11, with a limited number of spots remaining. Details in the first comment.

📍 Kraków, Poland
📅 June 29 – July 3, 2026

Five days structured around lectures, discussions, and time to exchange ideas - with space for informal conversations, poster sessions, and social events in the evenings.

The programme focuses on reliability and safety of machine learning methods and systems.

Regular registration closes tomorrow (April 19, AoE). You can still apply!

📍 Kraków, Poland
📅 June 29 – July 3, 2026

Details in the first comment.

Meet the new Project Leaders of ML in PL Conference 2026: Ewelina Kędzior and Mikołaj Piórczyński.

Ewelina has been with ML in PL for three years, starting in Special Ops before moving into Visual Identity. She studied quantitative methods at SGH and computer science at SGGW, and now works as a Data Scientist at DS360, focusing on machine learning, econometric modeling, and optimization. Outside of work, she enjoys scouting and discovering new places.

Mikołaj has spent the past three years working on Call for Contributions, and now steps into the co-lead role. He’s currently finishing his Master’s in Data Science at Warsaw University of Technology while doing research at IDEAS Research Institute. These days, he’s deep in thesis mode. When the weather’s good, you’ll find him running or biking; when it’s not, he’s watching old movies under a blanket.

They’ve both grown within the organization, know it inside out, and are now taking responsibility for the conference as a whole.