About Me
Initial trained in mathematics, I have orientated my career towards Applied Mathematics, by relying on my deep skills in mathematics, computer science, statistics, Programming and by attending a structured training in Ar…
Initial trained in mathematics, I have orientated my career towards Applied Mathematics, by relying on my deep skills in mathematics, computer science, statistics, Programming and by attending a structured training in Artificial intelligence & data science. I'm currently looking for a position in Mathematics.
Experience
Math Lecturer
Title : Applied Mathematics + Informatics
• Machine Learning, Neural networks « Courses, practical work, projects : Expert use of the Python libraries for data : TensorFlow, Scikit-learn, Keras, Pandas, numpy, … » (~272h)
Methods : KNN, Decision Trees, Linear Regression, Logistic Regression, SVM, ACP, KMeans, CNN, …
Project Leadership :
o Implementation of a Facial Recognition attendance sheet (time sheet), with arrival and departure times
o Leading the neural network part of a project aimed to programming a robot that detects the maximum speeds on the road
o Product classification, Personal Medical Cost Analysis, …
• Statistics, Programming, Numerical analysis, Differential equations, Optimization, ... (~800 h)
o Data cleaning, visualization and processing
o Video game programming
o Resolution of non-linear equations, …
o Multi-objective optimization methods
o Using data to guide decision making on establishment of Waste Storage Centers, integrating criteria such as cost, access, soil quality and hostility
• Projects and Supervision :
o Setting up a collection network for returnable bottles in the city
o Setting up stainless steel bodies for MEGA / EUROTOW, …
Teacher
<p>Mathematics: Statistics, Data Management, Probability, Coding and Algorithms</p>
Research engineer
<p>Impact of the heterogeneity of natural environments (fractured or porous) on the transport of inert solutes<br>
Implementation of numerical models<br>
C++<br>
Linux<br>
supercomputer<br>
MPI<br>
Theoretical and applied studies to understanding of water flow and solute transport in highly heterogeneous porous and fractured media</p>
PhD
<p>Contribution to 3D electromagnetic field modeling in high temperature superconductors<br>
Develop a rapid Multiphysics model for the design and optimization of superconductor-based systems<br>
Numerical model is developed for a rapid computation of eddy currents in multifilamentary high temperature superconductive (HTS) for the evaluation of AC losses</p>
M2 Research Internship
<p>Explicit calculation of the homogenized coefficients for particle dynamics with a strong external magnetic field<br>
Gyrokinetic approximation for the Vlasov-Poisson system in 3D</p>
Teacher
<p>Applied Mathematics + Informatics<br>
Machine Learning, Neural networks courses, practical work, projects<br>
Expert use of the Python libraries for data: TensorFlow, Scikit-learn, Keras, Pandas, numpy<br>
Methods: KNN, Decision Trees, Linear Regression, Logistic Regression, SVM, ACP, KMeans, CNN<br>
Implementation of a Facial Recognition attendance sheet (time sheet), with arrival and departure times<br>
Leading the neural network part of a project aimed to programming a robot that detects the maximum speeds on the road<br>
Product classification<br>
Personal Medical Cost Analysis<br>
Statistics, Programming, Numerical analysis, Differential equations, Optimization<br>
Data cleaning, visualization and processing<br>
Video game programming<br>
Resolution of non-linear equations<br>
Multi-objective optimization methods<br>
Using data to guide decision making on establishment of Waste Storage Centers, integrating criteria such as cost, access, soil quality and hostility<br>
Setting up a collection network for returnable bottles in the city<br>
Setting up stainless steel bodies for MEGA / EUROTOW</p>