Curriculum Vitae
EDUCATION
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Ph.D. in Bioinformatics, 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”
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
EMPLOYMENT & SCIENTIFIC EXPERIENCE
- Research Associate, Bioinformatics Lab, INAB at CERTH, Thessaloniki, Greece (11/2021–present)
Group Lead: Fotis Psomopoulos
Duties: Research software development and ML applications, participation in the ELIXIR AI Ecosystem FG, involvement in student supervision and teaching, EU proposal writing and participation in European-funded projects.
Duration Project Position 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+
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PhD Student, Department of Biology, National and Kapodistrian University of Athens (06/2022–present)
Development of synth4bench, an open‑source synthetic data generation and benchmarking pipeline for low‑frequency somatic‑variant deconvolution. -
Master Student, Department of Informatics, Aristotle University of Thessaloniki (09/2020–09/2021)
Software development for Deep Learning Methods for COST Action CA17137 in collaboration with the CIDL research group and the Gravitational Waves Group, AUTh.
TEACHING EXPERIENCE
University Courses
- Volunteer Instructor, Introduction to Python, Aristotle University of Thessaloniki (03/2021)
A six-hour crash course for 4th-year Physics students. Course Materials
Workshops
- Instructor, Artificial Intelligence and Machine Learning in Life Science: from foundations to applications, Centre for Genomic Regulation (CRG), Barcelona, Spain (14–18/09/2026)
A hands-on course covering machine learning, deep learning, foundation models, generative AI, reproducibility, DOME recommendations and the EU AI Act for life-science researchers. Details - Instructor, Artificial Intelligence and Machine Learning in Life Sciences, Centre de Vacances et Colloques Paul Langevin (CNRS), Aussois, France (19–23/05/2025)
An intensive course focused on ML and generative AI in the life sciences. Details | DOME Tutorial - Helper, Exploratory analysis of biological data: Data Carpentry, EMBL Heidelberg & Virtual (22–26/01/2024)
A hands-on workshop teaching data analysis fundamentals. EMBL Course - Instructor, WES / WGS Data Analysis, IMGGE, Belgrade, Serbia (28/11–01/12/2022)
Taught CNV calling using CNVkit. Materials
Student Supervision
- Support in the supervision of M.Sc. thesis: Generative methods in bioinformatics: the use case of synthetic genomics data, “Applied Bioinformatics & Data Analysis”, Democritus University of Thrace.
- Support in the supervision of 2 student internships.
FELLOWSHIPS AND AWARDS
- Travel grant from the European Conference on Computational Biology association to present the poster Synthetic Data Evaluation Metrics in Life Sciences: An ELIXIR Scoping Review at ECCB2026, Geneva, Switzerland (31/08–04/09/2026).
- Travel grant from the International Society for Computational Biology to present the poster Benchmarking Somatic Variant Callers: A Tale Unfolding In The Synthetic Genomics Feature Space at ECCB2024, Turku, Finland (16–20/09/2024).
- Participation grant to attend BioHackathon Europe 2023 as co-lead for Project 2, Barcelona, Spain (31/10–01/11/2023), with travel and accommodation expenses covered by ELIXIR.
ACADEMIC SERVICES
Ad hoc Reviewer
- Elsevier: Expert Systems With Applications, Neurocomputing, Swarm and Evolutionary Computation, Computer Methods and Programs in Biomedicine
- Oxford University Press: Bioinformatics Advances
- IEEE: Data Descriptions
Conference & Event Organization
- MSCA AHEAD General Assembly, CERTH, Thessaloniki, Greece (19–20/05/2026)
- EOSC-EVERSE Kick-off Meeting, Holiday Inn Hotel, Thessaloniki, Greece (11–15/03/2024)
- 17th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB23), Holiday Inn Hotel, Thessaloniki, Greece (10–12/10/2023)
Research Community Contributions
- Co-lead in Generative AI (GenAI) Task Force (05/2026–present)
Contribute to the coordination and development of the Generative AI Task within the ELIXIR AI Ecosystem Focus Group, supporting community discussions and strategic initiatives on the use of generative AI in the life sciences. - Co-lead of Project 8: Advancing Research Software Quality across ELIXIR: Sustainable, Reproducible, and Interoperable Life-Science Software in BioHackathon Europe 2026.
- Co-lead of Project 2: Assessing quality and privacy metrics of synthetic health data for benchmarking: the variant callers use case in BioHackathon Europe 2023.
MEMBERSHIPS
- Member, International Society for Computational Biology (ISCB) (2023–present)