The Team

Members

Collaborators

  • 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

Summer Interns

Alumni

  • Alicja Gosiewska, MSc
  • Marcin Kosiński, MSc
  • Wojciech Kretowicz, MSc student
  • Michał Kuźba, MSc student
  • Szymon Maksymiuk, Msc student
  • Tomasz Mikołajczyk, PhD
  • Adam Rydelek, BSc
  • Anna Wróblewska, PhD

Przemysław Biecek

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

GitHub: pbiecek

LinkedIn: pbiecek

Hubert Baniecki

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.

Google Scholar: H72DRC0AAAAJ

GitHub: hbaniecki

LinkedIn: hbaniecki

Stanisław Giziński

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

GitHub: Gizzio

LinkedIn: stanislaw-gizinski

Weronika Hryniewska

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

GitHub: Hryniewska

LinkedIn: weronikahryniewska

Anna Kozak

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

GitHub: kozaka93

LinkedIn: kozakanna

Mateusz Krzyziński

BSc student in Data Science at Warsaw University of Technology. Interested in explainable artificial intelligence, machine learning on graphs and data visualization.

Google Scholar: i_r7EUgAAAAJ

GitHub: krzyzinskim

LinkedIn: krzyzinskim

Piotr Piątyszek

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.

Github: piotrpiatyszek

Barbara Rychalska

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

LinkedIn: Barbara-Rychalska

Tomasz Stanisławek

PhD candidate in computer science at Warsaw University of Technology. Mainly interested in deep learning for natural language processing (NLP).

Google Scholar: gq8NY_UAAAAJ

GitHub: tstanislawek

LinkedIn: Tomasz-Stanisławek

Paulina Tomaszewska

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.

Google Scholar: eO245iMAAAAJ

LinkedIn: paulina-tomaszewska

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.

GitHub: lhthien09

LinkedIn: hthienly

Jakub Wiśniewski

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

GitHub: jakwisn

LinkedIn: jakwisn

Katarzyna Woźnica

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

GitHub: woznicak

LinkedIn: woznicak

Hanna Zdulska

Software 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.

GitHub: HaZdula

LinkedIn: Zdulskah

Hanna Piotrowska

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.

LinkedIn: hanna-piotrowska

Twitter: hannapio

Behance: hannapio.

Mateusz Grzyb

A BSc Data Science student at Warsaw University of Technology. Interested in artificial intelligence, data visualization and metaheuristic optimization.

GitHub: PlentyCoups

Bartosz Sawicki

Works towards BSc degree in Data Science at Warsaw University of Technology. Interested in data visualization.

GitHub: SawickiBartosz

Szymon Szmajdziński

Data Science student at Warsaw University of Technology. Machine learning enthusiast. Interested in automated machine learning and explainable artificial intelligence.

GitHub: Szmajsz

LinkedIn: szymszmaj

Hubert Ruczyński

Works towards Bachelor’s degree in Data Science at Warsaw University of Technology. Interested in Maching Learning, Neural Networks and Fairness.

GitHub: HubertR21

Zuzanna Trafas

A third-year Computer Science student at Poznan University of Technology. Interested in explainable artificial intelligence and computer vision.

GitHub: Zuzanna-Trafas

LinkedIn: zuzanna-trafas

Kinga Ułasik

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.

GitHub: ARUMHC

Maria Kałuska

Pursuing a Bachelor’s degree in Data Science at Warsaw University of Technology. Interested in machine learning and neural networks for computer vision.

GitHub: kaluskam

LinkedIn: Maria-Kałuska

Artur Żółkowski

Bachelor Data Science student at Warsaw University of Technology. Interested in machine learning and explainable artificial intelligence.

GitHub: arturzolkowski

LinkedIn: azolkowski

Alicja Gosiewska

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

GitHub: agosiewska

LinkedIn: alicja-gosiewska

Tomasz Mikołajczyk

PhD in social sciences, but in recent years has devoted himself to the area of data analysis and visualization. He is interested in the development of the area of explainable artificial intelligence.

GitHub: tmikolajczyk

LinkedIn: tomasz-mikolajczyk-ds