Antonios Somarakis

Assistant Computational Scientist

Analysis and pipeline development of spatial proteomics and trascriptomics data employing machine learning techniques.

My project focuses on the analysis of spatial single-cell proteomics data (e.g. Imaging Mass Cytometry, CODEX) and spatial transcriptomics data (e.g. Visium Spatial Gene Expression by 10x). Previously, in collaboration with biologists from Leiden University Medical Center I have developed interactive pipelines for the analysis of single-cell high-resolution images (ImaCyTe, SpaCeCo). My research interests also include the analysis of single-cell tissue images with Graph Convolutional Networks.

Antonios Somarakis on ORCID