Explaining Data Changes with Prototypes: A Measure-Driven Approach
in Information Fusion
CV
Education
- Ph.D in Computing and Telecommunications, Institute of Computing Science, Poznan University of Technology, 2028 (expected)
- M.S. in Artificial Intelligence, Poznan University of Technology, 2024
- B.S. in Artificial Intelligence, Poznan University of Technology, 2023
Work experience
- Senior Machnie Learning Engineer
Graylight Imaging Sp. z o.o., May 2025 - present - AI Developer
Meester Group Sp. z o.o., December 2024 - April 2025 - Software (ML) Engineer
Opensignal Limited, March - December 2024 - Data Scientist
nCodex Limited, June 2023 - December 2024 - Python (ML) Developer
Brytlyt Limited, March 2022 - February 2024 - R&D External Consultant
KGHM Centrum Analityki Sp. z o.o., June - August 2022 - Machine Learning Engineer
TIDK Sp. z o.o., July - December 2021
Publications
An Interpretable Prototype Parts-based Neural Network for Medical Tabular Data
in The Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025)
This part looks alike this: identifying important parts of explained instances and prototypes
in The 3rd World Conference on eXplainable Artificial Intelligence
Ligand Identification in CryoEM and X-ray Maps Using Deep Learning
in Bioinformatics
A-PETE: Adaptive Prototype Explanations of Tree Ensembles
in Progress in Polish Artificial Intelligence Research 5 : Proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI'2024)
Talks
An Interpretable Prototype Parts-based Neural Network for Medical Tabular Data
Talk at The Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy
This part looks alike this: identifying important parts of explained instances and prototypes
Poster at The 3rd World Conference on eXplainable Artificial Intelligence, Istanbul, Turkiye
Explainable AI: Moving from Numbers to Meaningful Insights
Talk at GHOST Day: Applied Machine Learning Conference, Poznań, Poland
A-PETE: Adaptive Prototype Explanations of Tree Ensembles
Talk at PP-RAI'2024 - 5th Polish Conference on Artificial Intelligence, Warsaw, Poland
Building AI Applications with GPU Vector Databases
Workshop at NVIDIA GTC, San Jose, California
Duże problemy dużych modeli językowych i ich małe rozwiązanie
Talk at OMatKo!!!, Wrocław, Poland
Unlocking the potential of large language models: Enhancing chatbots with a GPU-centric vector database
Talk at Data Science Summit, Warsaw, Poland
Measuring ontology concepts’ similarity
Poster at PP-RAI'2023 - 4th Polish Conference on Artificial Intelligence, Warsaw, Poland
Brytmind: A GPU Accelerated Machine Learning Framework for Relational Data Analytics
Poster at GHOST Day: Applied Machine Learning Conference, Poznań, Poland
Ligand classification using sparse deep neural networks
Talk at GHOST Day: Applied Machine Learning Conference, Poznań, Poland
Honours
Distinction in the XLI contest for the best MSc theses in the field of computing science
The Polish Information Processing Society
Summa Cum Laude
Poznan University of Technology
Distinction in the III contest for the best BSc projects and theses in the field of computing science
The Polish Information Processing Society
Prize for the best prototype in the AKAI Code hackathon
Akademickie Koło Aplikacji Internetowych (PUT Poznan)
1st place in the Best Hacking League hackathon, category Artificial Intelligence
Board of European Students of Technology
Teaching
Systemy uczące się
Laboratory classes in Poznan University of Technology, Faculty of Computing and Telecommunications