PhD studies in Information Science at Warsaw University of Technology. Research topic - Interpretable Machine Learning.

Msc in Mathematics at the University of Wrocław. "Data Analysis" program. Final grade - 5.

BS in Mathematics at the University of Wrocław. Final grade - 5.

Data analyst in the project "Innovative module for medical and medicines-related data analysis system for healthcare sector" at the University of Warsaw.

live - Local Interpretable Visual Explanations. Application of LIME methodology to regression problems and building R package that implements the method with model visualization techniques under the supervision of Przemysław Biecek, PhD. Summer stay at the Warsaw University of Technology.

Researcher in "First order Kendall maximal autoregressive processes and their applications" grant. Environmental data analysis and theoretical research in probability theory (Markov processes, generalized convolutions, probability distributions) under the supervision of Barbara Jasiulis-Gołdyn, PhD.

Trends in PISA Occupations Exploration of PISA results and building web application that visualizes them under the supervision of Przemysław Biecek, PhD. Summer stay at the Warsaw University of Technology.

Talk "Local Intepretability of Machine Learning Models", UMI-SIMAI-PTM Joint Meeting, Wrocław, Poland.

Talk "Spitzer identity for Kendall random walks", IMS Conference, Vilnius, Lithuania.

Talk "Spitzer identity for Kendall random walks", XV Probability Conference, Będlewo, Poland.

Talk "Local interpretability of machine learning models", Modern Statistical Methods - From Data to Knowledge. Berlin Symposium 2017, Germany.

Talk "Parent's profession, child's education - visualizing PISA study results", Why R Conference, Warsaw, Poland.

Talk "Fluctuations of Kendall random walks", ISSPSM 2017 conference, Debrecen, Hungary.

Talk "Wiener-Hopf factorization for extremal Markovian sequences connected with the Kendall convolution", 10th Conference on Extreme Value Analysis, Delft, The Netherlands.

Talk "Generalized convolutions in probability theory", Oblicze 2017, Poznań, Poland.

Poster titled "Kendall random walks" presented at 2nd Interdisciplinary Foundation for Polish Sciences Conference, Warsaw, Poland. (with B. Jasiulis-Gołdyn, K. Łukaszewicz, J. Misiewicz, W. Szczotka, M. Arendarczyk)

Poster titled "Modelling air pollution using Extreme Value Theory on the example of Wrocław" presented at Oblicze 2017 student conference in Poznań, Poland.

Trainee at Kruk. R packages development, data analysis and unstructured data processing.

Author of R e-course at https://videopoint.pl

Data analyst in a project at Far Data.

Computer Lab of Mathematical Institute, University of Wrocław. Linux system and local network administration, help desk.

Internship at InnoIdea. Financial data analysis in R and PostgreSQL, preparing educational materials on Statistics.

Co-organizer of monthly meetings of Wrocław R Users Community - STWUR.

Minister of Science and Higher Education scholarship for the best students

Rector's scholarship for the best students