Fascinated by science and with a solid academic background in mathematics, physics and computer science, I am convinced that I have all the qualifications required to excel in this internship. My academic background has allowed me to develop sharp analytical skills, as well as a mastery of advanced computer tools. Curious and determined, I am ready to put my knowledge into practice and actively contribute to your team. My critical thinking and my ability to solve complex problems make me the ideal candidate for this position.
I am convinced that joining your internship represents the ideal opportunity to deepen my knowledge and develop my skills. I am motivated by the potential to be part of a community of dedicated researchers and to actively contribute to innovative projects that push the frontiers of knowledge.
Prizes and awards: Excellence scholarships from the University of Montreal - First degree, Excellence scholarship from the University of Sherbrooke, Participant in the 2022 Putman competition: one of the
world's prestigious mathematics competitions managed by the Mathematical Association of America.
Admitted to: Ecole Polytechnique de Montreal, University of Montreal, laval university and University of
Sherbrooke. These universities represent a gateway to excellence, but your internship embodies the
perfect fusion of my academic and personal aspirations. It is the mirror of my vision and the crucible where I can shape my future with passion and determination.
Involvement in several aspects of quantum mechanics research
Theoretical Studies: developing a deep understanding of the concepts of quantum
mechanics, addressing topics such as potential applications in quantum
computing and theoretical physics. Participating in research on Quantum Cryptography, Quantum Optimization with Qiskit, quantum state manipulation, quantum entanglement, and quantum algorithms as well as modern interpretations of quantum mechanics. Conducting rigorous theoretical analyses and
collaborating in the formulation of complex mathematical models to explore the quantum
properties of physical systems.
Numerical Simulations: improving computational tools to simulate quantum phenomena.
These simulations have been essential to understand the behaviors of multi-particle
systems and have allowed theoretical hypotheses to be tested in a numerical framework. Quantum programming and the use of specialized software and development of scripts to automate and analyze these
simulations.
Laboratory Experiments: Participation in laboratory experiments aimed at exploring the practical applications of quantum mechanics and the setup and execution of complex experiments, as well as the analysis of experimental data.
Contribution to astrophysics research efforts, particularly in the field of numerical simulation
of galaxies
Simulation Model Development: Development and improvement of complex simulation models
to reproduce galaxy dynamics. Application of advanced astrophysical theories
to create accurate computer simulations that account for various factors such as
gravitational interaction, star formation and the effects of the interstellar medium
Data Analysis: Analysis of the large datasets generated by the simulations. This included
extraction of key features, identification of galactic structures and comparison of simulation results
with real astronomical observations. Use of various statistical tools and specialized
software for this analysis, contributing significantly to model validation
Algorithm Optimization: Optimization of simulation algorithms to improve the efficiency and
accuracy of the models. Exploration of different approaches to reduce computation times and
implementation of parallelization techniques to handle large-scale simulations. These
improvements have allowed simulating galactic processes over longer time periods and at
higher resolutions
Teaching and tutoring in mathematics and physics for first and second year university students
Teaching Mathematics: Algebra, Differential and Integral Calculus, Analytical Geometry,
Statistics and Probability
Teaching Physics: Classical Mechanics, Electricity and Magnetism, Thermodynamics,
Modern Physics.
Provide personalized support through one-on-one and small group tutoring sessions
Design Instructional Materials by creating detailed lecture notes and visual presentations,
practical exercises and practice problems tailored to students’ levels.
Participate in meetings and workshops aimed at improving the effectiveness of teaching and
tutoring methods and adapting innovative teaching practices
Assess students’ progress through quizzes, assignments and exams, and provide constructive
feedback to help students understand their mistakes and progress.
Overcome academic challenges but also cultivate a positive and motivating learning environment.
Python programming
Quantitative Research
Data Collection
Scientific Methodology
Dataset analysis
Academic Writing
Project assistance
Problem-Solving
Research Paper Writing
Report Writing
Scientific Experiments
Publication Preparation
Programming Languages
Mathematics
Scientific Writing
Team interaction
Team Collaboration
Critical Thinking