Education
Habilitation in Biomedical Engineering
24/06/2022Faculty of Electrical Engineering, Warsaw University of Technology, Poland
PhD in Computer Science
25/10/2017Faculty of Electrical Engineering, Warsaw University of Technology, Poland
MSc in Biomedical Engineering
Faculty of Mechatronics, Warsaw University of Technology, Poland
Current Positions
Team lead "Medical data analysis"
since 05.2025IDEAS Research Institute, Poland
Associate professor
since 2022Faculty of Electrical Engineering, Warsaw University of Technology, Poland
Previous Positions
Senior Data Scientist [Industry Position]
09/2021 – 05/2025Bayer, Poland
Assistant professor
10/2015 – 12/2022Faculty of Electrical Engineering, Warsaw University of Technology, Poland
Postdoc – Computational Pathology
11/2017 – 04/2020Diagnostic Image Analysis Group, Radboud University Medical Center, The Netherlands
Research Internships and Scientific Visits
Research Visit, Kather Lab, Germany
06/2024Visited Researcher, Gertych Lab, Cedars-Sinai Medical Center, USA
11/2019Research intern – computational pathology, VISILAB Group, Universidad de Castilla-La Mancha (UCLM), Spain
05/2017 – 08/2017Teaching Activities
AI in Medicine - for PhD students, Medical University of Warsaw, Poland
2024 - now
Image Analysis Methods Using Artificial Intelligence – Graduate Studies, Kozminski University, Poland
2024 - now
Medical Image Processing - Lecture and Laboratory (MSc program), Warsaw University of Technology, Poland
2021 - now
Supervisor of Research projects (MSc program), Warsaw University of Technology
2021 - now
Numerical Methods (MSc program), Warsaw University of Technology, Poland
2017, 2020-2024
Artificial Neural Networks, Warsaw University of Technology
2020 - 2023
Machine Vision (MSc program), Warsaw University of Technology
2021, 2023
Awards
Research awards by POLITYKA, category: computer science
2022prestigious Polish award recognizing outstanding achievements by young scientists across all fields of research
Nomination as one of the Top 100 Women in AI in Poland by the Perspektywy foundation
2022Minister's Scholarship for Outstanding Young Scientists
2021START scholarship for the Outstanding Young Scientists, Foundation for Polish Science
2020Distinction of the publication "Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides", Scientific Reports, among the top 100 most downloaded papers in 2019
2020The Rector Distinction Award, Warsaw University of Technology, Poland
2016, 2018, 2020, 2022Memberships
Member of The Polish Young Academy (AMU), Polish Academy of Sciences
since 2024
member of ELLIS - the European Laboratory for Learning and Intelligent Systems pan-European AI network of excellence
since 2024
Member of The Scientific Board of the Biomedical Engineering Discipline, Warsaw University of Technology, Poland
since 2022
IEEE Member
since 2020
Selected Publications
Learning to detect lymphocytes in immunohistochemistry with deep learning
2019Swiderska-Chadaj, Z., Pinckaers, H., van Rijthoven, M., Balkenhol, M., Melnikova, M., Geessink, O., Manson, Q., Sherman, M., Polonia, A., Parry, J., Abubakar M., Litjens, G., van der Laak J., Ciompi, F.
Medical Image Analysis
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma
2020Swiderska-Chadaj, Z., Hebeda, K. M., van den Brand, M., Litjens, G.
Virchows Archiv
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
2020Swiderska-Chadaj, Z., de Bel, T., Blanchet, L., Baidoshvili, A., Vossen, D., van der Laak, J., Litjens, G.
Scientific Reports
Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides
2019Gertych, A., Swiderska-Chadaj, Z., Ma, Z., Ing, N., Markiewicz, T., Cierniak, S., Salemi, H., Guzman, S., Walts, A.E, Knudsen, B.S
Scientific Reports