news
| May 08, 2026 | I successfully defended my PhD thesis, “Probabilistic deep learning: from efficient sampling to principled generation,” (available here) at Jagiellonian University! The committee awarded the thesis with distinction! Enormous thanks to my reviewers Prof. Arnaud Doucet (University of Oxford / Google DeepMind), Prof. Amos Storkey (University of Edinburgh), and Prof. Piotr Miłoś (University of Warsaw / IMPAN / Mistral AI), to my advisor Prof. Jacek Tabor and the GMUM group, and to Prof. Yoshua Bengio and the Mila community. |
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| Apr 03, 2026 | The video of my talk at the Lipski Award ceremony is now available online - watch here! I discuss my research interests, the AI Scientist research program, and the potential of probabilistic deep learning for advancing AI for Science. I was awarded the Lipski Award for outstanding young computer scientists in Poland, in the field of applied computer science for my research in probabilistic deep learning. The ceremony took place during ML in PL conference 2025 in Copernicus Science Centre in Warsaw. You can find more information here! |
| Mar 01, 2026 | Started two new positions: Research Assistant at the Faculty of Mathematics and Computer Science, Jagiellonian University, continuing work with the GMUM group; and AI Research Scientist at NASK – National Research Institute, focusing on AI Safety, agentic red-teaming, and probabilistic methods for alignment. |
| Feb 04, 2026 | Our paper “From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training” (with Julius Berner, Lorenz Richter, Jarrid Rector-Brooks, and Nikolay Malkin) has been accepted at Transactions on Machine Learning Research (TMLR)! The paper proves that discrete-time GFlowNet objectives and continuous-time path-measure objectives share a single asymptotic limit, and shows how this enables faster training via coarser random discretisation. You can find the paper here: https://openreview.net/forum?id=xLE3xJUuDO |
| Dec 01, 2025 | I’m heading to NeurIPS 2025 conference in San Diego! Feel free contact and chat about probabilistic deep learning, research, and coffee! |
| Oct 16, 2025 | Today I was honoured to officially receive the Lipski Award for outstanding young computer scientists in Poland. The ceremony took place during ML in PL conference 2025 in Copernicus Science Centre in Warsaw. I gave a talk on my research interests, and I explained mostly the AI Scientist research program, and why probabilistic deep learning might be the key to new results in AI for Science. The photos and talk recording will be available soon. Stay tuned! |
| Sep 24, 2025 | Happy to share that I was honoured the Lipski Award for outstanding young computer scientists in Poland. I was awarded in the field of applied computer science for my research in probabilistic deep learning. You can see the results here! |
| Sep 08, 2025 | Submitted my PhD Thesis: “Probabilistic deep learning: from efficient sampling to principled generation.” Now awaiting defense! |