- Przemysław Biecek, PhD (Team Leader)
- Hubert Baniecki, MSc student
- Stanisław Giziński, MSc student
- Weronika Hryniewska, PhD student
- Anna Kozak, MSc
- Mateusz Krzyziński, BSc 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 student
- Katarzyna Woźnica, PhD student
- Hanna Zdulska, BSc student
- Przemysław Bombiński, PhD, MD
- Piotr Czarnecki, PhD student
- Katarzyna Kobylińska, PhD student
- Marcin Luckner, PhD
- Stanisław Łaniewski, PhD student
- Katarzyna Pękala, MSc
- Bartek Pieliński, PhD
- Hanna Piotrowska, MA
- Elżbieta Sienkiewicz, PhD
- Julian Sienkiewicz, PhD
- Michał Sokólski, MSc student
- 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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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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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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Hoang Thien Ly
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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Hanna ZdulskaSoftware engineer and Data Science BSc student at Warsaw University of Technology. Experienced in web scraping, interested in natural language processing (NLP) and legal status of Artificial Intelligence. Beginner chess players.
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.
Google Scholar: YiwwR6EAAAAJ