Zuzanna Osika

Zuzanna Osika is a PhD Candidate at Technische Universiteit Delft (TU Delft) in the Netherlands.1 She is currently working as an AI Researcher at the university.14 Her research focuses on Explainable Reinforcement Learning, as indicated by her LinkedIn profile.3

Academic Background

Zuzanna has a strong educational foundation, having studied at the University of Warsaw (Uniwersytet Warszawski) before joining TU Delft.14 Her academic pursuits have led her to specialize in areas such as IT, Econometrics, Statistics, and Data Analysis.

Research and Publications

As part of her doctoral studies, Zuzanna is actively involved in research and has presented her work at conferences. In September 2023, she shared that she had the opportunity to present her paper titled "What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization".2 This indicates her involvement in the field of multi-objective optimization and decision support systems.

Professional Network

Zuzanna is well-connected in her field, with over 500 connections on LinkedIn.1 This suggests that she is actively engaged with other professionals and researchers in her area of expertise.

Additional Interests

Beyond her primary research focus, Zuzanna has shown interest in broader applications of technology. In May 2021, she co-authored an article on "Staying Healthy WITH Space," which explored the potential correlations between space technology and the UN Sustainable Development Goals.35 This demonstrates her ability to connect her research to real-world applications and global challenges.

Zuzanna Osika's profile reflects a promising young researcher in the field of AI, with a particular focus on explainable reinforcement learning and its applications in solving complex, multi-objective problems.