- Przemysław Biecek, PhD, DSc (Team Leader)
- Hubert Baniecki, MSc student
- Mustafa Cavus, PhD
- Stanisław Giziński, MSc student
- Weronika Hryniewska, PhD student
- Anna Kozak, MSc
- Mateusz Krzyziński, BSc student
- Stanisław Łaniewski, PhD student
- Piotr Piątyszek, BSc student
- Barbara Rychalska, PhD student
- Tomasz Stanisławek, PhD student
- Hoang Thien Ly, BSc student
- Paulina Tomaszewska, PhD student
- Jakub Wiśniewski, BSc
- Katarzyna Woźnica, PhD student
- Przemysław Bombiński, PhD, MD
- Piotr Czarnecki, PhD student
- André Fonseca, PhD student
- Katarzyna Kobylińska, PhD student
- Marcin Luckner, PhD
- João Malato, PhD student
- Bartek Pieliński, PhD, DSc
- Hanna Piotrowska, MA
- Nuno Sepúlveda, PhD
- Elżbieta Sienkiewicz, PhD
- Julian Sienkiewicz, PhD
- Michał Sokólski, MSc
- Patryk Szatkowski, PhD student, MD
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.
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Master’s student in Data Science at Warsaw University of Technology. Developing and maintaining open-source Python & R packages for explainability of predictive models. Researching explainable machine learning, responsibility, evaluation and adversarial attacks.
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I work as an assistant professor at Warsaw University of Technology and the Eskisehir Technical University. I joined the MI² DataLab as a post-doc researcher in 2021. I work on explainable artificial intelligence and AutoML.
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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
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.
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Graduated in mathematical statistics at Warsaw University of Technology. Interested in explainable artificial intelligence and data visualization. Organizes projects related to education.
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BSc student in Data Science at Warsaw University of Technology. Interested in explainable artificial intelligence, machine learning on graphs and data visualization.
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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.
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.
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PhD candidate in computer science at Warsaw University of Technology. Mainly interested in deep learning for natural language processing (NLP).
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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.
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Pursuing B.S Degree in Mathematics and Data Analysis at Warsaw University of Technology. Interested in working with data, and learning Machine Learning methods.
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.
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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.
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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.
A BSc Data Science student at Warsaw University of Technology. Interested in artificial intelligence, data visualization and metaheuristic optimization.
Works towards BSc degree in Data Science at Warsaw University of Technology. Interested in data visualization.
Data Science student at Warsaw University of Technology. Machine learning enthusiast. Interested in automated machine learning and explainable artificial intelligence.
Works towards Bachelor’s degree in Data Science at Warsaw University of Technology. Interested in Maching Learning, Neural Networks and Fairness.
A third-year Computer Science student at Poznan University of Technology. Interested in explainable artificial intelligence and computer vision.
A Data Science student at the Warsaw University of Technology. Interested in data vizualization, machine learning and programming. Besides studies, an astronomy amateur and a musician.
Pursuing a Bachelor’s degree in Data Science at Warsaw University of Technology. Interested in machine learning and neural networks for computer vision.
Bachelor Data Science student at Warsaw University of Technology. Interested in machine learning and explainable artificial intelligence.
PhD student in Computer Science at Warsaw University of Technology, holds a Master’s degree in Mathematics. Interested in Machine Learning benchmarks and eXplainable Artificial Intelligence for tabular data.
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Data Scientist, holds a Master’s degree in Computer Science from University of Warsaw. Interested in NLP, conversational explanations of AI, human aspects of Machine Learning and geographical data.
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