Hubert Baniecki

MI².AIUniversity of WarsawWarsaw University of Technology

Luck is what happens when preparation meets opportunity.

I am a 1st year PhD student in Computer Science at the University of Warsaw advised by Przemyslaw Biecek. Prior, I did my MSc (2022) and BSc (2021) in Data Science at Warsaw University of Technology, Poland.

My main research interest is explainable machine learning, with particular emphasis on adversarial attacks & explanation evaluation. I also care about human-model interaction with applications in biomedicine, and support the development of several open-source Python & R packages for building predictive models responsibly.

I received the 2022 John M. Chambers Statistical Software Award.

recent news [archive]

2023 Mar A paper Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics is accepted for publication at the AIME 2023 conference.
2023 Mar I received the Ministry of Education and Science (Poland) “Pearls of Science” grant for a 4-year research project Interpretable machine learning models for prediction in medical applications.
2023 Feb I have supervised three students who successfully defended a BSc thesis in Data Science on Automated explanation selection for convolutional neural networks.
2023 Jan A paper The grammar of interactive explanatory model analysis is accepted for publication in Data Mining and Knowledge Discovery.
2022 Dec A paper SurvSHAP(t): Time-dependent explanations of machine learning survival models is accepted for publication in Knowledge-Based Systems.

selected publications [more]

    1. The grammar of interactive explanatory model analysis
      H. Baniecki, D. Parzych, P. Biecek
      Data Mining and Knowledge Discovery, 2023
      Interactive model analysis improves the performance of human decision making.
    2. Fooling Partial Dependence via Data Poisoning
      H. Baniecki, W. Kretowicz, P. Biecek
      In: European Conference on Machine Learning and PKDD (ECML PKDD), 2022
      This work is the core of our BSc thesis defended at Warsaw University of Technology.
    3. dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
      H. Baniecki, W. Kretowicz, P. Piatyszek, J. Wisniewski, P. Biecek
      Journal of Machine Learning Research, 2021
      For this work, I received the 2022 John M. Chambers Statistical Software Award.