The Team

MI2 summer 2021

Members

Collaborators

  • Przemysław Bombiński, PhD, MD
  • Marcin Luckner, PhD
  • Tomasz Mikołajczyk, PhD
  • Bartek Pieliński, PhD
  • Hanna Piotrowska, MA
  • Elżbieta Sienkiewicz, PhD
  • Julian Sienkiewicz, PhD
  • Anna Wróblewska, PhD
  • Michał Sokólski, MSc student
  • Patryk Szatkowski, PhD student, MD
  • Katarzyna Kobylińska, PhD student
  • Wojciech Kretowicz, MSc Student
  • Michał Kuźba, MSc
  • Stanisław Łaniewski, PhD student
  • Szymon Maksymiuk, Msc Student
  • Katarzyna Pękala, MSc

Trainees

Alumni

  • Marcin Kosiński, MSc
  • Adam Rydelek, BSc

Przemysław Biecek

Associate professor at Warsaw University of Technology and the University of Warsaw. Interested in model visualisation, explanatory model analysis, predictive modelling and data science for healthcare. Graduated in software engineering and mathematical statistics. In 2016, he formed the research group MI² which develops methods and tools for predictive model analysis.

Research visits: University of California, Davis (2018, USA), Nanyang Technological University (2018, Singapore), Auckland University (2014, 2015, New Zeland), Hasselt University (2010, 2011, 2017, Belgium), Toronto University (2007, Canada), OECD (2013, France), Vienna University (2004, 2005, Austria), Purdue University (2004, USA).

Google Scholar: Af0O75cAAAAJ. GitHub: pbiecek. LinkedIn: pbiecek.

Hubert Baniecki

Obtained a Bachelor’s degree in Data Science and works towards a corresponding Master’s degree at Warsaw University of Technology. Researching machine learning in the context of explainability, adversarial attacks and interactive model analysis.

Google Scholar: H72DRC0AAAAJ. GitHub: hbaniecki. LinkedIn: hbaniecki.



Stanisław Giziński

A Research Software Engineer and student of Interfaculty Individual Studies in Mathematics and Natural Sciences of 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


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



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 the Warsaw University of Technology. Interested in explainable artificial intelligence and data visualization. Organizes projects related to education.

Google Scholar: JIrqf9kAAAAJ. GitHub: kozaka93. LinkedIn: kozakanna.



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 and Computer Vision.

Google Scholar: eO245iMAAAAJ. LinkedIn: paulina-tomaszewska.

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.



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




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.




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 artificial explanatory intelligence.

GitHub: tmikolajczyk. LinkedIn: tomasz-mikolajczyk-ds.




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.



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.



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.



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