• 2009 – Doctor of Philosophy (PhD), Erasmus University Rotterdam, the Netherlands
  • 2005 – Professional Doctorate in Engineering (PDEng), Eindhoven University of Technology, the Netherlands
  • 1999 – Master of Science (MSc) in Electrical Engineering (cum laude), Ivan Franko National University of Lviv, Ukraine

Research Interests

  • Deep Learning and AI for biomedical applications
  • Motion registration and analysis in cellular and molecular bioimaging
  • Bayesian statistics and applications
  • Sequential Monte Carlo, Markov chain Monte Carlo
  • Compressed Sensing


Short Bio

I was born in Lviv, Ukraine, on April 7, 1977. I received a M.Sc. degree (cum laude) in Electrical Engineering from Ivan Franko National University of Lviv, Ukraine, in 1999. From 1999 to 2002, I was a Research Scientist at the Electrical Engineering department of the same university. During that period I carried out research in the field of nonlinear dynamical systems.

From 2003 to 2005, I was a Research Assistant (postmaster program “Mathematics for Industry”) at the department of Mathematics and Computer Science of Eindhoven University of Technology, the Netherlands. In 2005 I graduated on the project “Design and implementation of a six camera scanning unit” and was awarded a Professional Doctorate in Engineering degree (PDEng).

From 2005 to 2009 I was a PhD student at Biomedical Imaging Group Rotterdam (BIGR), the Netherlands. My research topic is motion registration and analysis in cellular and molecular bioimaging. In 2009 I obtained a PhD degree after defending the thesis entitled “Particle Filtering Methods for Subcellular Motion Analysis”.

From February 2009 to 2018 I was a postdoctoral fellow at the Departments of Medical Informatics and Radiology of the Erasmus University in Rotterdam, the Netherlands, conducting research on several topics defined by my personal grants (VENI, Erasmus MC Fellowship and NWO BBoL grant).

From 2019 to 2020 I was an assistant professor at the department of Geoscience and Remote Sensing, TU Delft working on statistical and machine learning methods for optical and laser remote sensing.

Since 2020 I am an assistant professor at the Erasmus MC, Biomedical Sciences Theme, working in collaboration with dozen of research groups at the departments of Cell Biology and Molecular Genetics, developing methods for motion analysis and image understanding using modern statistical and AI methods.