I am a PhD student in the Joint Carnegie Mellon University – University of Pittsburgh Computational Biology (CPCB) program, advised by Dr. David Koes. My research focuses on improving the synthesizability of molecules generated by deep generative models for computational drug discovery. I aim to create tools that advance research, contribute to open-source software, and help drive progress in personalized medicine.



Milestones, publications, and updates throughout my journey.
Officially joined Dr. David Koes' lab in the CMU–Pitt CPCB program, focusing on improving the synthesizability of molecules generated by deep generative models.
"Describing the diversity of MAPT transcripts in the parietal cortex of Pick's disease patients" published in npj Dementia.
Placed 5th in Crunch 1 and 3rd in Crunch 2 of the Autoimmune Disease Machine Learning Challenge hosted by the Eric and Wendy Schmidt Center.
Started my PhD in Computational Biology in the Joint Carnegie Mellon – University of Pittsburgh program.
"Association between Human Leukocyte Antigen Alleles and Neuropathological Outcomes in Lewy Body Disease" published in Annals of Neurology.
"Characterizing the expression profile of 3R tau pathology in Pick's disease" published in Science Advances.
"A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19" published in BioTech 13 (3), 22.
Our proposal was selected among 23 funded out of 278 submissions in Life Sciences by ELIDEK (Hellenic Foundation for Research & Innovation).
Started as Special Project Associate II – Bioinformatician at Mayo Clinic, Jacksonville, FL, in the Ross Lab working on neurodegenerative disease research.
Graduated from the National and Kapodistrian University of Athens, Department of Informatics. Thesis on interpretable ML/DL methods for biomedical time series in the Manolakos Lab.
Won Challenge 1 of the Eric and Wendy Schmidt Center's Cancer Immunotherapy competition at the Broad Institute with teammate Konstantinos Kyriakidis.
Enrolled in the MSc program at the National and Kapodistrian University of Athens, Department of Informatics.
"Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly" published in Molecular Medicine Reports 23 (4), 251.
Served in the Hellenic Navy as part of mandatory military service in Greece.
Graduated from the National and Kapodistrian University of Athens, Department of Biology, with a focus on bioinformatics.
Conducted thesis research on benchmarking sequencing technologies for de novo genome assembly at the Biomedical Research Foundation of the Academy of Athens.
Enrolled in the Department of Biology at the National and Kapodistrian University of Athens.
Detailed affiliations, labs, and thesis work.






Click on "View All Publications" for more details.
Annals of Neurology, November 2025
npj Dementia 1 (1), 22, September 2025
Science Advances 11 (18), eadt6105, May 2025
BioTech 13 (3), 22, July 2024
Molecular Medicine Reports 23 (4), 251, February 2021
Machine learning competitions in computational biology and biomedicine.
Built hybrid CNN+MLP models to predict spatial gene expression from histopathology images in inflammatory bowel disease. Enhanced embeddings from pretrained histopathology models for gene-level predictions and developed multi-channel architectures capturing local spatial relationships.
Eric and Wendy Schmidt Center & Klarman Cell Observatory, Broad Institute of MIT and Harvard · 2024–2025
Developed a novel deep learning model to predict T cell state transitions after gene knockouts, integrating single-cell data with biological pathway databases (Reactome, STRING). First ML competition entry — won by developing a completely new approach.
Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard · 2023
I'm always open to discussing research collaborations, computational biology, drug discovery, or just connecting! Don't hesitate to reach out!
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