- Przemysław Biecek, PhD, DSc (Team Leader)
- Hubert Baniecki, PhD student
- Mustafa Cavus, PhD
- Maciej Chrabąszcz, PhD student
- Weronika Hryniewska-Guzik, PhD student
- Mateusz Krzyziński, MSc student
- Tymoteusz Kwieciński, BSc student
- Stanisław Łaniewski, PhD student
- Nuno Sepúlveda, PhD
- Bartek Sobieski, MSc student
- Mikołaj Spytek, MSc student
- Paulina Tomaszewska, PhD student
- Piotr Wilczyński, BSc student
- Katarzyna Woźnica, PhD student
- Vladimir Zaigrajew, PhD student
- Mariusz Adamek, Prof, MD
- Przemysław Bombiński, PhD, MD
- André Fonseca, PhD student
- Stanisław Giziński, MSc student
- Katarzyna Kobylińska, PhD student
- Piotr Komorowski, MSc
- Anna Kozak, MSc
- Marcin Luckner, PhD
- João Malato, PhD student
- Bartek Pieliński, PhD, DSc
- Hanna Piotrowska, MA
- Barbara Rychalska, PhD
- Elżbieta Sienkiewicz, PhD
- Julian Sienkiewicz, PhD
- Tomasz Stanisławek, PhD
- Adrian Stańdo, MSc student
- Patryk Szatkowski, PhD student, MD
- Emilia Wiśnios, MSc student
- Jakub Wiśniewski, MSc student
- Piotr Czarnecki, MSc
- Alicja Gosiewska, MSc
- Adrianna Grudzień, BSc
- Mateusz Grzyb, MSc student
- Paulina Kaczyńska, MSc student
- Maria Kałuska, BSc
- Marcin Kosiński, MSc
- Adam Kozłowski, MSc
- Wojciech Kretowicz, BSc
- Michał Kuźba, MSc
- Szymon Maksymiuk, BSc
- Tomasz Mikołajczyk, PhD
- Katarzyna Pękala, MSc
- Piotr Piątyszek, BSc student
- Hubert Ruczyński, MSc student
- Adam Rydelek, BSc
- Bartosz Sawicki, BSc
- Patryk Słowakiewicz, BSc
- Michał Sokólski, MSc
- Mateusz Stączek, BSc
- Szymon Szmajdziński, BSc
- Zuzanna Trafas, BSc
- Hoang Thien Ly, BSc
- Kinga Ułasik, BSc
- Anna Wróblewska, PhD
- Paweł Wojciechowski, BSc
- Hanna Zdulska, BSc
- Artur Żółkowski, BSc
My personal mission is to enhance human capabilities by supporting them through access to data-driven and knowledge-based predictions. I execute it by developing methods and tools for responsible machine learning, trustworthy artificial intelligence and reliable software engineering.
I work as an associate professor at Warsaw University of Technology and the University of Warsaw. I graduated in software engineering and mathematical statistics and now work on model visualisation, explanatory model analysis, predictive modelling and data science for healthcare. In 2016, I formed the research group MI² which develops methods and tools for predictive model analysis.
Google Scholar: Af0O75cAAAAJ
I work at two Medical Universities (Silesia and Gdańsk) holding a Professorship in Medicine and Health Sciences. My interests are focused on lung cancer prevention and screening, the latter by means of low-dose computed tomography (LDCT) with special emphasis put on molecular biology methods, prediction models and image analysis aimed to enhance the performance of lung screening outcomes.
I’m a PhD student in Computer Science at the University of Warsaw. Prior, I did my MSc (2022) and BSc (2021) in Data Science at Warsaw University of Technology. My main research interest is explainable machine learning, with particular emphasis on adversarial attacks & explanation evaluation.
I work as an assistant professor at the Eskisehir Technical University. I joined the MI² DataLab as a post-doc researcher in 2021. I work on glocal explanations and imbalanced learning.
Google Scholar: I63d1WIAAAAJ&hl
I work as an assistant professor at Faculty of Physics, WUT. My main research area links with sociophysics, complex networks and agent-based models. In the scope of MI² DataLab I follow my other interest - scientometrics.
Google Scholar: mIwu11QAAAAJ
I am pursuing a PhD in Computer Science at Warsaw University of Technology, where I also obtained my MSc in Mathematical Statistics in 2023. My main research interests lie in the fields of responsible and explainable machine learning, with a focus on Red Teaming foundation models.
A Research Software Engineer and student of Machine Learning at Faculty of Mathematics Informatics and Mechanic, University of Warsaw. His work in the lab focuses on using natural language processing and network analysis to better understand the spread of AI public policies. Interested also in applying machine learning in bioinformatics.
Google Scholar: Stanisław Giziński
MSc student in Data Science at Warsaw University of Technology. Interested in artificial intelligence and scientific computing, but above all simply enjoys programming.
PhD candidate in computer science at Warsaw University of Technology. Interested in deep learning modelling on medical images in the context of explainability and responsible AI.
Google Scholar: aJeg3IQAAAAJ
I am working towards a Master’s degree in Machine Learning at University of Warsaw. I am interested in Natural Language Processing and ML applications in social sciences
Master’s student in Machine Learning at the University of Warsaw. Mainly interested in image processing and XAI applied to medical images.
Graduated in mathematical statistics at Warsaw University of Technology. Interested in explainable artificial intelligence and data visualization. Organizes projects related to education.
Google Scholar: JIrqf9kAAAAJ
MSc student in Data Science at Warsaw University of Technology. Interested in explainable artificial intelligence, with particular emphasis on XAI methods for survival analysis models and XAI applications in the medical field. Also an enthusiast of data visualization.
Google Scholar: i_r7EUgAAAAJ
BSc student in Data Science at Warsaw University of Technology. Particularly interested in explainable artificial intelligence, computer vision and NLP.
PhD student in Quantitative Psychology and Economics at University of Warsaw, Machine Learning Researcher at MI2 Data Lab, Msc in Actuarial Science and Mathematical Finance at University of Amsterdam, former Quantitative Researcher at Flow Traders His research focuses on enhancing classical methods used in discrete choice and finance with machine learning and how to apply them to explain behavioral phenomena and heuristics. He is also keen on finding balance between best predictive models and their explainability. Avid gamer who applies statistical techniques to deepen the understanding of best strategies
Undergraduate Data Science student at Warsaw University of Technology. Works as a research software engineer on enhancing accessibility and completeness of explainable AI. During pandemic contributes to a system of monitoring covid variants.
I am an Assistant Professor at the Faculty of Political Science and International Studies at Warsaw University. I am interested in applying quantitative methods to study public policies. I am a founding member of the Institutional Grammar Research Initiative, which is focused on developing a new way of analysing social rules. I have participated in several research projects covering social policy, non-profit organizations, social enterprises, and international organizations.
Google Scholar: hnWiaVEAAAAJ
LinkedIn: Bartosz Pieliński
Information designer, focusing mainly on data visualization, branding and book design, with a strong interest in Data Science and perception studies. Winner of numerous awards, including The Kantar Information Is Beautiful Awards, HOW International Design Awards, Polish Graphic Design Awards and KTR.
I am working towards Masters’s degree in Data Science at Warsaw University of Technology. I am also teaching students about data exploration and visualisation. My major interests are: AutoML | Natural Language Processing | Data Visualization | Fairness.
LinkedIn: Hubert Ruczyński
PhD candidate in computer science at Warsaw University of Technology. Mainly interested in deep learning for natural language processing (NLP), recommender systems and graph-based learning.
Google Scholar: Wp0wHJoAAAAJ
MSc student in Data Science at Warsaw University of Technology. Interested in deep learning and hyperparameter optimization.
MSc student in Data Science at Warsaw University of Technology. Interested in explainable artificial intelligence, data vizualization and survival analysis.
Google Scholar: 1u49AqYAAAAJ
PhD candidate in computer science at Warsaw University of Technology. Mainly interested in deep learning for natural language processing (NLP).
Google Scholar: gq8NY_UAAAAJ
PhD candidate in Computer Science at Warsaw University of Technology. Gained experience in AI at leading universities during: Deep Learning Summer School at Tsinghua University (China), one-semester exchange at Nanyang Technological University (Singapore) and research internships at Gwangju Institute of Science and Technology (South Korea) and Institute of Science and Technology (Austria). Mainly interested in Deep Learning, Computer Vision and Transfer Learning. Recently, focused on digital pathology.
Google Scholar: eO245iMAAAAJ
Bachelor student in Maths and Data Analysis at Warsaw University of Technology. Interested in working with data, and learning explainable artificial intelligence methods.
Google Scholar: JkysewYAAAAJ
BSc student in Data Science at Warsaw University of Technology. Interested in Large Language Models, AI Deception and Natural Language Processing. Currently working on my thesis, which applies Computer Vision to medicine.
Research Software Engineer and third year Data Science student at Warsaw University of Technology. Developer of tools for bias detection and fairness. Currently researching responsible applications of deep learning. President of Data Science Science Club at WUT.
Google Scholar: _6eQsXMAAAAJ
Research Software Engineer and student of Machine Learning at Faculty of Mathematics, Informatics and Mechanics, University of Warsaw. Interested in natural language processing and reinforcement learning.
Graduated with a bachelor’s degree in Data Science from Warsaw University of Technology. Interested in explainable artificial intelligence, computer vision, and active learning.
PhD candidate in computer science at Warsaw University of Technology. Graduated in mathematical statistics. Interested in automated machine learning especially in hyperparameter tuning for tabular data. Carrying statistical analysis and predictive modelling for healthcare.
Google Scholar: tAQS1gQAAAAJ
PhD candidate in computer science at Warsaw University of Technology. Interested in deep learning, primarily on images, with a focus on representation learning.