Curriculum Vitae

Bachelor of Science, Engineering

Poznan University of Technology

Artificial Intelligence

Bachelor of Science, Engineering

Poznan University of Technology

Computer Science

Research Intern

Carnegie Mellon University | Robotics Institute

As a Robotics Institute Summer Scholar I worked on resilience of decentralized learning algorithms to adverse scenarios, and on developing a formal verification method for Bayesian Networks.

Research Assistant

Poznan University of Technology

Conducted research in explainability techniques as part of the TAILOR EU network. Introduced a method for generating counterfactual explanations that are robust under model shifts, and developed a multi-criteria framework facilitating selection of user-aligned counterfactuals.

Machine Learning Engineer

Poznan Supercomputing and Networking Center | Polish Academy of Science

Contributed to 3 EU HORIZON projects (ADMIRE, SHOP4CF, TAPAS). Topics included anomaly detection for HPC centers, creation of an event-driven system detecting paint defects on an industrial car production line, and analysis of black-box models in multi-agent settings to identify critical vulnerabilities.

Junior C# Developer

ProCat

Built new modules for automated product catalog generation in a large Product Information Management (PIM) system.

Data Analyst

Robotics Institute Summer Scholars, Carnegie Mellon University

Led data analysis on a "Data for Equity" project for CMU graduate admissions, providing actionable feedback to diversify candidate demographics.

Technical Support

Robotics Institute Summer Scholars, Carnegie Mellon University

Provided technical support for RoboLaunch Outreach seminar series, connecting young researchers with world-class scientists.

Seminar Group Leader

Student Research Group, Poznan University of Technology

Co-led the 'eXplainable AI seminar' (2023) and 'Machine Unlearning' (2024) study groups in GHOST.

Ministry of Science and Higher Education Scholarship for significant academic achievements

Polish Ministry of Science and Higher Education

Awarded for academic achievements and research work.

University’s President Scholarship

Poznan University of Technology

5x awardee of the semestral scholarship granted to the top 10% of students with added financial support.

CMU RI Google Scholarship

Carnegie Mellon University Robotics Institute

Awarded during the RI summer program.

Intel AI4Youth Program Laureate

Intel AI4Youth Program

Won a national competition; developed a computer vision solution for gaze direction estimation to assist individuals with disabilities.

Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change

31st SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track

Toronto, Canada.

A SAT-based approach to rigorous verification of Bayesian networks

Workshop on Explainable and Robust AI for Industry 4.0 & 5.0 @ ECML PKDD

Vilnus, Lithuania.

A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers

International Journal of Applied Mathematics and Computer Science (AMCS)

On usefulness of dominance relation for selecting counterfactuals from the ensemble of explainers

Proceedings of the 4th Polish Conference on Artificial Intelligence

Lodz, Poland.