I am a PhD Student in Clinical Immunology at the Department of Quantitative Biomedicine of the University of Zürich. My project focuses on the study of immunological dysregulation in Systemic Lupus Erythematosus patients (SLE). Primary goal is to explain the heterogeniety of the disease by finding markers linked to the phenotype, severity and flares of the disease and proceed to the evaluation of potential diagnostic targets in a clinical setting. Using my strong computational and biology background, through my PhD, I would like to contribute fully to the project by, 1) doing patient selection based on design of experiments methods, 2) following a data-driven biofluid sample profiling strategy, 3) analysing data using state-of-the-art tools. I believe seeing the project from sample aquisition to analysis would give me a practical understanding of the nuances of biological data production, aiding in a more complete research endeavor.
University of Zurich – PhD in Clinical Immunology (2023 – now)
Onassis Foundation Scholarship for PhD studies
ETH Zürich, UZH, Unibasel – MSc in Computational Biology and Bioinformatics (2021 - 2023)
ETH D-BSSE department conference representative for the Computational Biology and Bioinformatics MSc
ETH Teaching comission member for the Computational Biology and Bioinformatics MSc
Onassis Foundation Scholarship for MSc studies
Kapodistrian University of Athens – BSc in Informatics (2016 - 2020)
Best student award from the Greek State Scholarship Foundation (IKY)
Bioinformatics Research Intern - Roche Basel, PMDA team, pRED (09/2022 – 03/2023)
Collaborating Researcher - Complex Event Recognition Group, NCSR "Demorkitos" (09/2020 – 06/2021)
Click on a project to view more details & Publications.
Studying of B cell evolution, phylogeny, in-silico affinity maturation using various Foundational and Antibody-specific protein language models with inhouse BCR data.
Development of a single-cell transcriptomics analysis pipeline of CRISPR-Cas9 experiments, including preprocessing, Quality Control and Analysis workflows
Forecasting outcomes using time-series data mainly from Biological and Maritime data by implementing/applying NLP methods
