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Adresse mail : mverwee (at) gmail.com
Background and Achievements
Background and Achievements
PhD Thesis: Effective Erdős–Wintner Theorem, joint supervision between Université de Lorraine and Technische Universität Wien, defended on November 20, 2020.
Agrégation in Mathematics (National Teaching Certification): 2016.
Teaching Experience: Several years of lectures and tutorials in applied mathematics, statistics, and computer science.
Technical Skills: Modeling, probability, statistics, numerical simulations, programming (Python, Matlab, C++), data analysis and visualization.
Research and Publications: Articles in number theory and probability, presentations in international seminars.
With a PhD in Mathematics, I have worked on theoretical problems using numerical simulations and taught applied mathematics for several years.
This experience allowed me to develop strong skills in modeling, probability, statistics, and programming (Python, Matlab, C++).
I am now eager to apply these skills to real-world projects in data science and artificial intelligence, contributing to the analysis and modeling of complex problems.
Publications
Publications
Curriculum Vitae
Curriculum Vitae
My CV is here.
Manuscripts
Manuscripts
3. Effective Erdős-Wintner theorem for linear recurrent bases. (Currently being drafted).
2. Effective Erdős-Wintner theorem for Cantor systems, submitted.
1. Improvement of Drmota-Verwee's effective Erdős-Wintner theorem for Zeckendorf expansions, Manuscript (September 2025) [PDF]
Dissertations
Dissertations
- Doctorate thesis (in French): Théorèmes d'Erdős-Wintner effectifs (Effective Erdős-Wintner theorems)
Under the direction of professors Michael Drmota & Gérald Tenenbaum, Technische Universität Wien & Université de Lorraine, 2020.
Under the direction of professors Michael Drmota & Gérald Tenenbaum, Technische Universität Wien & Université de Lorraine, 2020.
- Master thesis (in French): La fonction lambda de Liouville dans les petits intervalles
Under the direction of Gérald Tenenbaum, Université de Lorraine, 2016.
Under the direction of Gérald Tenenbaum, Université de Lorraine, 2016.
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