I am Lilian Besson, a former student
in Mathematics and Computer Science at ENS de Cachan.
I am a passionate programmer, open-source enthusiast and young researcher in machine learning, learning theory and cognitive radio.
I also love to cook and meet people, to travel and exchange, to bike or hike.
For my Ph.D., my research is in applied machine learning,
focused on low-cost online learning algorithm with
limited feedback (bandit feedback),
mainly applied to cognitive radio problems for
Opportunistic Spectrum Access and setting up reliable network access protocol
for the future Internet of Things networks.
By studying and applying classical and recent Multi-Armed Bandit algorithms
to carefully designed radio models, we are able to prove some performance guarantees,
both numerically in simulations and theoretically with statistical proofs.
11 Research talks and posters
8 Research articles
(4 published, 2 sent)
2 PhD advisors
and collaboration with 2 PhD student and postdoc
2 Higher Education institutes where I teach in Rennes
L. Besson, J. Fageot, M. Unser.
A Theoretical Study Of Steerable Homogeneous Operators, And Applications.
Research Internship Report – Master MVA.
Internship with Prof.Dr. Michael Unser and Dr. Julien Fageot.
BIG team at EPFL, Lausanne (Switzerland).
[ PDF ]
• [ Slides ]
• [ Code ]
• [ 🏅 Rank: 1st & 🎓 Grade: 18.43/20 ]
My wish is to become a tenured full-time teaching professor
in a Preparatory School in France (CPGE), in Computer Science and/or Maths.
Ideally, I will be the happiest man if
I could spend the next 40 years teaching introductory Computer Science with
Python, data structures and algorithmics, computer architecture etc.
I like to share my passion for practical computer science and mathematics, and how both can be combined and used for research and modelisation problems, for instance for analysis of data coming from our daily life (e.g., my text messages, quotes from the Kaamelott TV show, or data about the national result for the maths agrégation exam, etc).
various teaching and scientific resources,
many Jupyter notebooks,
and some slides.
Written regularly, covering various subjects.
Lots of geeky stuff in English, but teaching resources are in French.
Correction Rue Ulm, Paris, France :
one-to-one teaching assistant for junior high maths (30 h / year),
and grading of maths written exams (10 times / year).
I love to program and write code and documentation ,
especially in Python for science, GNU Bash for desktop automation, and HTML/CSS/JS for the web.
Everything I did and do is open-source and published (using Git),
on my GitHub
profiles. Here are a few things I did since 2012:
🇫🇷 A clone of the code used by French government to decide the affectation between highschool students and universities (ParcoursSup), written in Python 3. Aimed at being didactic.
Documentation here (in French),
and an interactive notebook here (in French).
🐍 🏋 OpenAI GYM for Nintendo NES emulator FCEUX and 1983 game Mario Bros. + Double Q Learning for mastering the game with reinforcement learning.