I work in computational biology, focusing on spatial data and how we can model biological structure in a way that is both statistically sound and biologically meaningful.
Recently, I have been building my own research direction around spatial omics and multimodal data integration, with a particular interest in the tumour immune microenvironment.
Most of my work sits somewhere between statistics, machine learning, and biology. In practice, this includes:
- modelling spatial organisation of cells in tissue
- probabilistic approaches to biological systems
- learning representations from multiplex imaging data (IMC, mIF)
- combining imaging with other modalities (e.g. transcriptomics)
What I care about most is that the models we build are not only predictive, but also interpretable and usable in real biological settings.
My background is in statistical modelling and computational genomics. Earlier in my work I focused on:
- modelling epidemic dynamics (COVID-19)
- inference problems in population genetics and genome structure
- analysis of genomic variation and structural rearrangements
Over time, my interests shifted towards spatially resolved data, where classical statistical approaches meet challenges related to structure, scale, and heterogeneity.
My current work builds on this foundation, combining probabilistic modelling with modern machine learning to better understand spatial organisation in biological systems.
A probabilistic framework for describing spatial patterns of immune infiltration in tumours.
I have been involved in shaping the modelling approach and supervising the work.
(manuscript in preparation)
Work on representation learning for multiplex imaging data, with a focus on uncertainty-aware models.
My role here is mostly around the methodological direction and overall modelling ideas.
(manuscript in preparation)
- Principal Investigator of a SONATA grant (NCN, Poland)
- part of the IMMUcan consortium
- involved in the SPACETIME consortium
- collaboration with the Pertz Lab, University of Bern and Maciej Dobrzyński
I am also building a small research group around spatial and multimodal data analysis.
List of my works is up-to-date at Google Scholar
I am always happy to talk to people working on related problems — especially around spatial data, imaging, and probabilistic modelling.
I also supervise students (BSc/MSc) and am gradually building a team in this area.
University of Warsaw Faculty of Mathematics, Informatics and Mechanics