Who am I?
My name is Rémi Piau.
I just finished my PhD (titled “Learning from entropy-encoded data”) at the intersection of signal processing, information theory, machine learning and computer science.
I am currently seeking a post-doctoral position.
Academic studies
- PhD Candidate, 2021-2025, Sirocco/Compact Team at INRIA, FR
- Magister degree in Computer Science, present 2019-2021, ENS Rennes, Rennes, FR
- Master’s degree in Computer Science, 2019-2021, University of Rennes 1, Rennes, FR
- Bachelor’s degree in Computer Science, 2018-2019, University of Rennes 1, Rennes, FR
- MPSI/MP* Preparatory Classes, 2016-2018, Lycée Clemenceau, Nantes, FR
- French Baccalauréat, June 2016, FR
Find my full Curiculum Vitae in English Here
Feel free to check out the list of courses I followed.
Projects (latest first)
Currently missing, my last projects both professional and personnal will be added shortly.
Find most of my school porjects underneath.
2019-2020
- A VSL to LLVM IR compiler (code)
- An automatic musical transcription (code, slides in french)
- Our take on the Nachos OS (code)
- Algebraic equation system over F2 solvers using SAT & SMT solvers as backend (code)
2018-2019
- A Lisp interpeter in C++ (code, slides in French, report in French)
- A full CPU raytracing renderer in C++ using SFML, able to load
.obj
(code, slides, report)
- An Ocaml implementation of the Delaunay triangulation (code, report in French)
- A simple project on Hanoï towers and Penrose tiling (code, report in French)
2017-2018
- TIPE: Instrument classification using gaussian mixture models in Python
Resources
Here are some resources available on this website.
- Pedago (unplugged C.S.): Magic Square (Carré magique),
support for whole class interaction. It’s a pedagogical activity
to make pupils (5 ième) discover error correction with unplugged computer science.