Department of Data Science and Engineering Faculty of Automatic Control, Electronics and Computer Science

Science discipline

Information and Communication Technology

Biographical note

• 03.2024-present – assistant professor at the Department of Data Science and Engineering and Department of Computer Graphics, Vision and Digital Systems in Silesian University of Technology in Gliwice.
• 09.2023 – obtaining a PhD with distinction in Biocybernetics and Biomedical Engineering, specialising in Bioinformatics. Dissertation topic: „Machine learning methods in support of multiomics signature identification for breast cancer patient subpopulations”. Supervisor: prof. dr hab. inż. Joanna Polańska, co-supervisor: Christos Hatzis, PhD. Reviewers: dr hab. inż. Agnieszka Rybarczyk, dr hab. inż. Paweł Łabaj, dr hab. n. med. Michał Jarząb.
• 06-09.2023 – research internship at UK Health Security Agency (Radiation Effects Department, Cancer Mechanisms and Biomarkers Group), Harwell Campus, Chilton, Didcot, United Kingdom.
• 04.2022-02.2024 – research and teaching assistant at Department of Computer Graphics, Vision and Digital Systems in Silesian University of Technology in Gliwice.
• 07-08.2021 – research internship at University Clinical Centre (Health Technology Assessment and Implementation Team), Medical University of Gdańsk, Gdańsk, Poland.
• 04.2021-03.2022 – research assistant at the Department of Data Science and Engineering in Silesian University of Technology in Gliwice, in the project COVRAD (Artificial intelligence systems to support COVID-19 detection and monitoring in high-resolution CT scans using the COVID-RADS data classification and reporting system), funded by NCBiR (The National Centre for Research and Development).
• 03-12.2021 – participation in the NCN (National Science Centre)-funded project CIRCA – COVID-19 online diagnostic imaging support service.
• 2018-2023 – full-time doctoral studies in Applied Integrative Data Analysis Silesian University of Technology in Gliwice, Faculty of Automatic Control, Electronics and Computer Science.
• 2017-2018 – full-time doctoral studies in Biocybernetics and Biomedical Engineering, Silesian University of Technology in Gliwice, Faculty of Automatics, Electronics and Computer Science.
• 09.2017 – obtaining a Master’s degree with distinctions. Dissertation title: „Comparative Analysis of CNS between radiosensitive and normal response patients”. Supervisor: prof. dr hab. inż. Joanna Polańska, consultant: Ghazi Alsbeih, PhD.
• 2016-2017 – full-time Master studies in Biotechnology, major Bioinformatics, Silesian University of Technology in Gliwice, Faculty of Automatics, Electronics and Computer Science.
• 06-08.2016 – research internship at Public Health England (Radiation Effects Department, Centre for Radiation, Chemical and Environmental Hazards), Harwell Campus, Chilton, Didcot, United Kingdom.
• 01.2016 – obtaining an Engineer’s degree. Engineering project title: „Effect of the transcription factor HSF1 on gene activation by estrogen in mammary gland epithelial cells”. Supervisor: dr Magdalena Skonieczna, consultant: dr hab. Wiesława Widłak.
• 10.2015-01.2016 – scientific volunteering at Cancer Cell Signaling Pathways Research Team, Center for Translational Research and Molecular Biology of Cancer, National Research Institute of Oncology, Gliwice, Poland.
• 08.2015 – internship at Cancer Cell Signaling Pathways Research Team, Center for Translational Research and Molecular Biology of Cancer, National Research Institute of Oncology, Gliwice, Poland.
• 2012-2016 – full-time Engineering studies in Biotechnology, major Bioinformatics, Silesian University of Technology in Gliwice, Faculty of Automatics, Electronics and Computer Science.

Scientific interests

• Bioinformatics, biostatistics, exploratory data analysis.
• Data visualisation.
• Machine learning in cancer research.
• Multi-omics data integration.
• Identification and characterisation of breast cancer subtypes using statistical learning.
• Bioinformatics methods for analysis of post-transcriptional modifications in nanopore sequencing data.

Teaching

• Automation and Robotics, BSc:
  • Probability Calculus and Statistics
• Automation and Robotics, MSc:
  • Optimisation Methods
• Biotechnology, BSc:
  • Computer Science and Programming Fundamentals
  • Biostatistics and Biometrics
  • Biosystems Modelling
• Biotechnology, major Bioinformatics, MSc:
  • Statistical Inference
• Control, Electronic and Information Engineering and Control, Electronic and Information Engineering (Yanshan University), BSc:
  • Optimization and Decision Making
  • Probability and Statistics
• Control, Electronic and Information Engineering, major Data Science, MSc:
  • Programming in R and Python
  • Markov Models
  • Statistical Learning
  • Data Processing in Bioinformatics
• Informatics (Polish and English), MSc:
  • Computer Vision and Pattern Recognition
• Cognitive Technologies, MSc:
  • Programming for Cogntive Sciences
  • Statistical Learning

Timetabling

• Biotechnology (BSc and MSc levels, Polish and English) – classes conducted at the Faculty of Automatics, Electronics and Computer Science.
• Control, Electronic and Information Engineering (BSc level) – classes common for all majors, classes for Automatic Control and Informatics majors.
• Control, Electronic and Information Engineering (MSc level) – classes common for all majors, classes for Automatic Control and Data Science majors.