EDF internships
Co-supervision with Hassane Chraibi in the Probabilistic Safety Assessment Team:
- Implementing importance sampling based on fault tree analysis in PyCATSHOO tool, Yann Barbier (Apr. 2023 — Oct. 2023).
- Computing mean hitting times of a random walk in a large sparse graph, Thomas Quarck (June 2023 — Aug. 2023).
Student thesis
Mentoring 3rd year Bachelor students at École polytechnique:
- Multiple hypothesis testing: the p‑value problem, (Jan. 2023 — Mar. 2023).
- Simulated annealing: using randomness to solve the traveling salesman problem, (Jan. 2023 — Mar. 2023).
Teaching
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Course title: Random numerical simulation of rare events MAP473D.
Service: Practical work 1x4h.
Referent professor: Arvind Singh.
Class: 3rd year École polytechnique — 2023.
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Course title: Statistics MAP433.
Service: Correction of 160 homeworks.
Referent professor: Eric Moulines.
Class: 2nd year Ecole polytechnique — 2022.
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Course title: Modelling random phenomena MAP432.
Service: Correction of 40 homeworks.
Referent professor: Thierry Bodineau.
Class: 2nd year Ecole polytechnique — 2022.
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Course title: Randomness MAP361.
Service: Practical work 4x2h.
Referent professor: Arvind Singh.
Class: 1st year Ecole polytechnique — 2022.
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Course title: Probability refreshers MAP530.
Service: Tutorial 4x3h.
Referent professor: Tabea Rebafka.
Class: Master X‑HEC Data Science for Business — 2022.
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Course title: Mathematical Foundations of Data Science MAP532 (Linear algebra refreshers).
Service: Tutorial 1x3h.
Referent professor: Flore Nabet.
Class: Master X‑HEC Data Science for Business — 2022.