Charles Moussa

Charles Moussa

About

Charles Moussa is a Mathematical Engineer/Research Scientist with a PhD on quantum machine learning at Leiden University in the Netherlands.

Download my resumé as a PDF.

Interests
  • Artificial Intelligence
  • Optimization
  • Quantum Computing

Experience

 
 
 
 
 
Research Scientist
Stealth
Sep 2023 – Present Leiden, Netherlands (Remote)
  • More to come.
 
 
 
 
 
PhD in Quantum Machine Learning (thesis submitted)
Leiden University
Jun 2019 – Aug 2023 Leiden, Netherlands
  • Combining Quantum Computing, Optimization and Machine Learning for industrial problems.
  • PhD sponsored by TotalEnergies, under the supervision of Vedran Dunjko and Thomas Bäck.
  • Development of hybrid quantum-classical algorithms for research and education.
  • Participation in teaching activities as guest presenter and developing tutorials. Supervision of students.
 
 
 
 
 
Quantum Computing Fellowship
Los Alamos National Laboratory
Jun 2022 – Aug 2022 New Mexico
Selected fellow for the Quantum Computing Summer school. Implementation of QML algorithms on simulators and hardware for quantum data.
 
 
 
 
 
Quantum Computing Scientist
Modis - TotalEnergies
Mar 2019 – Jul 2019 Pau, France
  • Helping TotalEnergies in their quantum computing project.
  • Implementation of quantum algorithms.
  • Supervising two interns in their research projects.
 
 
 
 
 
Quantum Computing Researcher
Oak Ridge National Laboratory - TotalEnergies
Aug 2017 – Jan 2019 OakRidge, TN
  • Investigating about quantum computing and applications in Machine Learning, Chemistry, Optimization, Differential equations.
  • Implementation of classical and quantum algorithms: Genetic Algorithms, Restricted Boltzmann Machines, Grover Search, TotalQBoost…
  • Coding algorithms with different quantum simulation softwares: Qiskit, D-Wave Sapi, PennyLane, Strawberry Fields, Atos Quantum Learning Machine.
  • Writing reports for documentation on quantum algorithms potential for industry use cases.
 
 
 
 
 
Data Scientist
Sarenza (Leader in selling shoes online in France)
Apr 2016 – Oct 2016 Paris, France
  • Created fact tables with Hive (SQL for Hadoop) that are updated everyday to save time in Data preparation for Data Science use cases.
  • Recommendation system using collaborative filtering.
  • Using Transfer Learning to extract features for clustering.
  • Sales forecasting with Machine Learning algorithms (Random forests, XGBoost, Extreme Gradient Boosting…) using Python and Spark.
 
 
 
 
 
Web Developer
BiKay (Global IT start-up part of the French Tech Cambodia community)
Jun 2015 – Sep 2015 Phnom Penh, Cambodia
  • Developed in a team a web management platform in Laravel (PHP framework with JavaScript, jQuery, Ajax and HTML/CSS) for a company which manages rental properties.
  • Implemented a SERP (Search Engine Results Page) in Laravel by scrapping Google..
  • Data Extraction from websites using CasperJs.

Education

 
 
 
 
 
Master’s degree in Mathematical Engineering
National Institute of Applied Sciences (School of Engineering)
Sep 2011 – Oct 2016 Rouen, France
  • Applied Mathematics (Statistics, Optimization, Machine Learning, Partial Differential Equations).
  • Computer Science (Programming, Virtual reality, Web Technologies).
 
 
 
 
 
Master’s degree in Actuaries and Mathematical Engineering in Insurance and Finance
University of Rouen
Sep 2015 – Oct 2016 Rouen, France
  • Insurance, Finance, Economy, Management, Banking and Finance Law.
  • Mathematics (Pricing, NonParametric Tests, Statistics of extreme values, Survival Analysis, Risk Management).

Accomplish­ments

Second place in 2022 QHack coding challenges. First place in two open coding challenges and second prize in two others.
QHack Feb 2022 – Feb 2022
Second place at the BIG Quantum Hackathon by QuantX, Paris 2021
QuantX Mar 2021 – Mar 2021

Get in touch