I am a PhD student based in France, specialized in applied mathematics and computer science.
I am passionate about mathematics and math-adjacent domains, and am interested in pursuing a career in research.
Understanding math is an extremely satisfying feeling. I find myself constantly seeking that thrill through various sources. The Bourbaki books are some of my favorites.
I am deeply interested in symbolic AI and in combining it with Machine Learning techniques to solve real-life problems.
Ever since I’ve started learning logo, I fell in love with programming. I appreciate a clean and efficient piece of code just as much as one can appreciate art, which is why I try to keep my code as modular and optimal as possible.
I am always driven to learn more, especially in mathematics, which usually leads to sharing my newfound understanding with colleages who (sometimes) share that interest.
I have embraced the minimalist linux philosophy in 2017; I’ve spent countless hours ricing/configuring my minimalist desktop environment running on Arch Linux. Feel free to check out my dotfiles.
Music plays a big part of my life, I like various music genres. I practice the violin since I was 8, and I enjoy mostly playing in an orchestra.
Studied mathematical modelling of microbiological systems, nonlinear systems state observation and control through literature and followed courses.
French graduate engineering program (Diplôme d’Ingénieur) with focus on applied mathematics and computer science.
Research-oriented Master’s program with focus on algebra, theoretical computer science, and preparation for PhD.
Rich school program that gave me a head start in later studies.
Graduation grade 92.17%
Working on control of microorganisms communities, as a member of the Microcosme project-team.
Investigated nonlinear systems of bacteria and microalgae through mathematical analysis and simulation. Currently designing observers for such systems for future development of feedback control of algal-bacterial consortia, through classical control strategies and data-driven approaches.
Teaching mathematics and computer science at a Bachelor’s level.
Worked on a bio-inspired geometric model for sound reconstruction. The spectrum of the degraded sound is lifted in the Heisenberg group and reconstructed via the Wilson-Cowan differo-integral equation.
Contributed to an article published in the GSI 2021 conference proceedings.
Improved and extended the implementation of the proposed model, and ran experiments on a library of speech recordings.
This internship concluded my Master’s degree at INSA Rouen Normandie (published report).
Contributed to the Mind the Gap! algorithm developed by Pixel team that proposes a robust pipeline for generating hexahedral-dominant meshes from any global parametrization of a tetrahedral mesh.
Proposed and implemented improvements to the pipeline that helped obtain better meshes with less irregularities.
Established a Proof of Concept of a web client of the free software AMC that creates and manages multiple choice questionnaires (MCQ) as it is only available on UNIX systems.
Implemented a Django web application that communicates with AMC on the server side.
Volunteered as a French-Arabic translator for asylum-seekers.
The CAFDA is an organization that receives asylum-seeking families and accompanies them in their asylum demand procedure and in their access to social rights.
Research project exploring the domain of Music Information Retrieval and Automatic Music Transcription.
Studied algorithms of single and multiple pitch estimation and onset detection. Provided a Python API for these algorithms using own implementation and/or external libraries.
Studied and implemented active contour models for parametric curve and level-set curves, evolving the curves by minimizing the mean-curvature or the geodesic metric. A medical image is segmented using the proposed algorithms and their performance is compared.
The project is based on Numerical Tours (G. Peyré) which explores image processing among other data science and applied mathematics topics.
Studied Multi-Agent Systems as part of my Masters program, with focus on the belief-desire-intention model that was applied in two mini-projects.
Implemented capture the flag game using jason as a basic BDI-model application. Also built a simulation of the propagation of the flu in a city using GAMA modeling environment.
Studied Multi-Agent Reinforcement Learning in the framework of Game Theory by extensively analysing a scientific paper and comparing it with more recent litterature.
Implemented the famous sliding tiles game in Prolog using A* graph search algorithm for N×M sized puzzles.
Implemented also a greedy algorithm and Iterative Deepening Depth-First-Search, and compared the performance and results of the algorithms.
Implemented an AsciiMath to LaTeX interpretor using ANTLR. This project was part of the course lexical and syntaxical analysis in my INSA Masters program.
AsciiMath is a markup language that represents a subset of mathematical expressions using simple readable ASCII syntax unlike LaTeX or MathJax. AsciiMath is to TeX Math what Markdown is to LaTeX.
Implemented mathematical operations for floating-point numbers (IEEE 765 standard) through bitwise operations in C++ using Newton’s Algorithm, CORDIC and others.
Having learned the floating numbers machine representation and implemented the square root function as an assignment for a course in computer-based calculations, I was compelled to extend the assignment to other mathematical operations.