Stamatis Choudalakis

Mathematician | Machine Learning | Data Science

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Info

ORCHID: 0009-0006-1536-7878
Mathematics Research Center, Academy of Athens
Medical School of Athens, National and Kapodistrian University of Athens
Contact: st.xoud@gmail.com | +30 6985793600 | LinkedIn | ResearchGate

Summary

I am a mathematician with a strong foundation in machine learning and data science and a proven ability to extract insights from large and unstructured datasets. My work is implemented using Python and R. Teaching lessons are also offered across a variety of mathematical fields, including tutoring Python, R, and Matlab.

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Skills

Experience

PhD Candidate in Bioinformatics

Mathematics Research Center, Academy of Athens
Medical School of Athens, National and Kapodistrian University of Athens
1/2024 - Today

My PhD thesis focuses on cancer research and specifically in gaining insights over complex biological data. The goal of the thesis is to recover novel patterns of cancer initiation and progression. This work includes rigorous data curation over large datasets to exclude non-cancerous noise, and the development of machine learning models to extract statistically significant patterns. To date, a total of 42 non-reported mutational patterns have been recovered, using state-of-the-art machine learning pipelines.

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Education

MSc on Applied Mathematics

Department of Mathematics, National and Kapodistrian University of Athens
9/2020 - 6/2022

BS in Mathematics

Department of Mathematics, National and Kapodistrian University of Athens
9/2015 - 9/2020

Publications

Intra-clustering analysis reveals tissue-specific mutational patterns

S. Choudalakis, G. A. Kastis, and N. Dikaios, “Intra-clustering analysis reveals tissue-specific mutational patterns”. DOI:https://doi.org/10.1101/2024.02.26.582027

Solving high-dimensional problems in statistical modelling: a comparative study

S. Choudalakis, M. Mitrouli, A. Polychronou, and P. Roupa, “Solving high-dimensional problems in statistical modelling: a comparative study,” Mathematics, vol. 9, no. 15, p. 1806, 2021. DOI:https://doi.org/10.3390/math9151806