I am a biologist by training working at the interface of evolutionary theory and computing.
At the Institute of Computing Science, Poznan University of Technology, I work on measures of complexity in evolving systems and on computational models in immunology and biomedicine. At the Cybersecurity and Data Protection Department of the Poznan Supercomputing and Networking Center I apply machine learning to security problems. I also co-supervise the university's Bioinformatics Student Research Club.
I am currently completing a PhD on complexity flow graphs.
What I work on
- Complexity and context construction in evolutionHow does information about the environment flow into an evolving population — and how does it accumulate when the population reshapes that environment itself?More →
- Computational immunology and systems biomedicineHow can an immune system cope with the unpredictability of pathogens, and what do network and agent-based models tell us about disease?More →
- Machine learning for cybersecurityHow can learning systems detect attacks on industrial and IT infrastructure — and how secure are those learning systems themselves?More →
- Algorithms for consistent sentencingCan transparent, guideline-based algorithms reduce inconsistency in criminal sentencing — as an alternative to opaque “AI judges”?More →
Recent
- 2026Chapter: Sieci Petriego a Metody Znajdowania Minimalnych Zbiorów Prekursorów w Projektowaniu Domen Sygnałowych Receptorów CAR-T (eng. Petri Nets and Methods… more
- 2026Talk at CYBERSECURITY DAY 2026: “Metody analizy i przeciwdziałania zaawansowanym cyberatakom z wykorzystaniem krajowej infrastruktury badawczej Puchacz”
- 2025Article: Overcoming Sentencing Inconsistency – A Proposal for Algorithmic Guidelines and the Juridical Misalignment Index more
- 2025Talk at 9th Workshop on BioInformatics meets Machine Learning: “Modeling the Evolution of the Adaptive Immune Response: How to Overcome the Unpredictability of Pathogen Diversity?”