Ongoing Projects

• Since Fall 2024, NCN SONATA - Computational methods for understanding tumor immune microenvironment from spatial imaging data
  

  Within the project we will try to come up with cross-modal approaches to capture immune microenvironment characteristics including local communities, infiltration patterns, or TLS.

• Since 2022, IMMUCAN - Statistical inference and machine learning for infiltration patterns detection in immunofluorescence data
  

  In collaboration with Ewa Szczurek Lab and the IMMUcan consortium, we are developing TumorIslet -- a tool for analyzing immunofluorescence data to assess the immune landscape of cancer patients and capture the infiltration patterns across patients.

Closed Projects

• 2022-23, HSA2 Fusion - De-novo assembly of highly repetetive genomic site to understand the origin of the human chromosome 2 (HSA2)
  

  Together with Anna Gambin and Pawel Stankiewicz labs we have de-novo assembled and analyzed Great Apes genomic data to suggest an evolutionary scenario that resulted in HSA2 as we see it in human today.

• 2020-23, COVID-19 - Multi-institutional initiative towards understanding the epidemiology of COVID-19
  

  We developed a stochastic model to make short-term predictions of new COVID-19 cases and deaths. Our predictions were integrated into European scientific efforts to combat the pandemic.

• 2017-19, NCN PRELUDIUM - Bayesian analysis of bladder cancer subtypes based on high-throughput data
  

  Technological progress in molecular biology provides a description of patients with gigabytes of high throughput data. This project aimed to derive an integrative model that analyzes high throughput experimental data in two interrelated contexts: local (individual signaling pathways) and global (full metabolic network).