Curriculum Vitae

Ph.D. in Biology, National and Kapodistrian University of Athens (06/2022–present)
Thesis: “Design and development of bioinformatics tools for the effective and systematic distinction between true (biological) and artificial somatic variants in pathological conditions, focusing on low-frequency variants”
Supervisor: Andreas Agathangelidis
M.Sc. in Digital Media and Computational Intelligence, Aristotle University of Thessaloniki (09/2019–09/2021)
Grade: 9.20/10 (Excellent)
Thesis: “Applications of Deep Learning on gravitational waves” (with the Gravitational Waves Group, AUTh)
Supervisor: Anastasios Tefas
B.Sc. in Physics, Aristotle University of Thessaloniki (10/2010–04/2019)
Grade: 6.64/10 (Very Good)
Thesis: “Study of the merging of a neutron star with a black hole and the role of the equation of state”
Supervisor: Charalampos Moustakidis

Research Associate, Bioinformatics Lab, INAB at CERTH, Thessaloniki, Greece (11/2021–present)
Supervisor: Fotis Psomopoulos
Duties: Bioinformatics software development and ML applications, participation in the ELIXIR ML FG, involvement in student supervision and teaching, EU proposal writing, and participation in European-funded projects.

Duration	Project	Description	Funder
01/2025–present	SYNTHIA	ML methods for generating and evaluating synthetic data	HORIZON-JU-IHI-2023-05
06/2024–12/2024	EVERSE	Tools and practices for research software quality assessment	HORIZON-INFRA-2023-EOSC-01
09/2023–05/2024	SciLake	Algorithms for large-scale biodata analysis	HORIZON-INFRA-2021-EOSC-01-04
11/2021–08/2023	Gallantries	Bioinformatics educational content development	Erasmus+

PhD Student, National and Kapodistrian University of Athens (07/2022–present)
Designing bioinformatics algorithms to deconvolute low-frequency somatic variants in NGS data. Use of synthetic data generation and mathematical modeling to simulate biological systems and study their behavior.
Master Student, Aristotle University of Thessaloniki (09/2020–09/2021)
Software development for master thesis with the Gravitational Waves Group, AUTh led by Nikolaos Stergioulas.

Travel grant from the International Society for Computational Biology to present the poster Synth4bench: generating synthetic genomics data for the evaluation of somatic variant callers at ECCB2024, Turku, Finland (16–20/09/2024).
Invited attendee at BioHackathon Europe 2023 as co-lead for Project 2, Barcelona, Spain (31/10–01/11/2023), funded by ELIXIR.

EOSC-EVERSE Kick-off Meeting, Thessaloniki, Greece (11–15/03/2024)
17th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB23), Thessaloniki, Greece (10–12/10/2023)

Artificial Intelligence and Machine Learning in Life Sciences, Aussois, France (19–23/05/2025)
Instructor in an intensive course focused on ML and generative AI in the life sciences. Details | DOME Tutorial
Exploratory analysis of biological data: Data Carpentry, EMBL Heidelberg & Virtual (22–26/01/2024)
Helper in a hands-on workshop teaching data analysis fundamentals. EMBL Course
WES / WGS Data Analysis, IMGGE, Belgrade, Serbia (28/11–01/12/2022)
Taught CNV calling using CNVkit. Materials
Introduction to Python, Aristotle University of Thessaloniki (03/2021)
Six-hour crash course for 4th-year Physics students. Course Materials

Co-supervision of M.Sc. thesis: Generative methods in bioinformatics: the use case of synthetic genomics data, “Applied Bioinformatics & Data Analysis”, Democritus University of Thrace.
Active involvement in the supervision of 2 student internships.