Development of a computational tool for STR genotyping from single-cell sequencing data
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Summary
Computational Genomics Group project focused on creating a tool for STR genotyping from single-cell sequencing data as part of M.Sc. studies.
About
Highly analytical M.Sc. student in Applied Computational Life Sciences with expertise in Python, machine learning, and statistical analysis, specializing in image-based biomedical data workflows. Proven ability to develop robust analytical pipelines and AI-assisted systems, significantly improving data processing efficiency and decision-making. Eager to leverage advanced computational skills to optimize optical inspection and enhance product quality within medical device manufacturing.
Work
Institute of Computational Life Sciences (ICLS). Zurich University of Applied Sciences, ZHAW
|Intern
Zurich, Zurich, Switzerland
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Summary
Led the development of an AI-assisted grading workflow, significantly improving processing speed and system integration for educational applications.
Highlights
Built an automated grading pipeline using multiple LLMs, achieving 30x faster processing than manual grading, leading to enhanced model evaluation and error-analysis workflows.
Developed FastAPI-based backend services with robust validation logic, prompt engineering, and browser-extension integration for an end-to-end AI-assisted grading workflow across 900+ student-question pairs.
Institute of Molecular Biology and Biotechnology, FORTH
|Research Assistant
Heraklion, Crete, Greece
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Summary
Designed and optimized molecular diagnostic assays and pipelines for pan-arbovirus pathogen detection, contributing to rapid point-of-care diagnostics within an international consortium.
Highlights
Designed in-silico molecular diagnostic assays for pan-arbovirus pathogen detection, processing >50,000 viral genomes to support rapid point-of-care diagnostics and monitoring.
Developed a novel pipeline for multiplex-compatible primer design, achieving >95% inclusivity with <20-minute detection times.
Collaborated with bioinformatics, wet-lab, and product-development stakeholders in the EU-funded UniHealth consortium to troubleshoot assay design decisions across an 11-partner international network.
Volunteer
ICLS, ZHAW
|Representative
Rotkreuz, Zug, Switzerland
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Summary
Represented ICLS, ZHAW at Roche Digital Day 2025, facilitating engagement and showcasing institutional contributions in digital health innovation.
Highlights
Acted as a representative for ICLS, ZHAW at the Roche Digital Day 2025 event held in Rotkreuz, Switzerland, engaging with attendees and promoting institutional research.
TEDx University of Crete
|Volunteer
Heraklion, Crete, Greece
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Summary
Contributed to the organization and execution of TEDx University of Crete 2024, enhancing community engagement and knowledge dissemination.
Highlights
Supported the successful execution of TEDx University of Crete 2024, assisting with event logistics and participant coordination.
3rd Panhellenic Neuroanatomy Symposium
|Volunteer
Unknown, Unknown, Greece
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Summary
Supported the successful execution of the 3rd Panhellenic Neuroanatomy Symposium, assisting with logistical and participant coordination.
Highlights
Provided volunteer support for the 3rd Panhellenic Neuroanatomy Symposium in 2023, ensuring smooth event operations.
Education
Zurich University of Applied Sciences, ZHAW
Zurich, Zurich, Switzerland
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M.Sc.
Applied Computational Life Sciences
University of Crete
Heraklion, Crete, Greece
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B.Sc.
Biology (Molecular Biology & Biotechnology)
General High School of Mikra, Thessaloniki, Greece
Thessaloniki, Central Macedonia, Greece
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High School Diploma
Scientific Education
Grade: 18.5/20 (Excellent)
Languages
English
Greek
Skills
Python
R
JavaScript
SQL
Git/Github
Bash
Unix/Linux
HPC (Slurm)
PyTorch
scikit-learn
FastAPI
Sequence alignment (BWA, BLAST)
Statistical analysis
Single-cell analysis
Genomic data processing (NCBI, GISAID, TCGA)
Image analysis
Matplotlib
Seaborn
ggplot2 (R)
Interests
Classical music
Piano, Counterpoint & Harmony diplomas.
Hiking
Mountaineering Club of Heraklion.
Projects
Trans-omic approach to colorectal cancer (Erasmus Internship)
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Summary
Applied statistical and unsupervised methods including NMF, factor analysis, Pearson correlation, hierarchical clustering, PCA, k-means and differential expression analysis to identify clinically relevant patterns in colorectal cancer datasets for biomarker discovery development.
Development of a DAMP Assay for the Arbovirus Detection at Point of Care
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Summary
Biosensors Group project focused on developing a DAMP assay for point-of-care arbovirus detection as part of B.Sc. thesis.