Wassim Tenachi
Postdoctoral Research Fellow at Mila - Quebec AI Institute
Montreal, Quebec, Canada
Summary
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Rockstar🎓
Top SchoolWassim Tenachi is a postdoctoral research fellow combining astrophysics, machine learning, and instrumentation with five years of hands-on experience in observational campaigns and deep-learning research. He completed a PhD focused on applying deep generative models and normalizing flows to recover gravitational potentials and constrain dark matter distributions, and now bridges ML research at MILA with astrophysical applications. His background as an engineer in simulation, sensor modeling and data science enables end-to-end projects from telescope observations (VLT, ING) to pytorch pipelines and explainable models. He has applied ML across domains—from medical histology and DNA classification to thermodynamic and sensor modeling—demonstrating strong transferable skills in modeling, numerical analysis, and experimental characterization. Based in Montreal, he brings a rare mix of field observing experience and advanced probabilistic ML techniques that accelerate scientific discovery.
5 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Université de StrasbourgMaster 2 (M2), Astrophysics, Master 2 (M2), Astrophysics at University of StrasbourgPreparatory classes for Grandes Écoles (CPGE) Maths SUP/SPÉ: PCSI/PC* - BSc equivalent, Maths, Physics, Chemistry, Programming/Numerical Analysis, Preparatory classes for Grandes Écoles (CPGE) Maths SUP/SPÉ: PCSI/PC* - BSc equivalent, Maths, Physics, Chemistry, Programming/Numerical Analysis at sorbonne universitéEngineering Degree, Physics, simulation, computer science, data science, numerical analysis, instrumentation., Engineering Degree, Physics, simulation, computer science, data science, numerical analysis, instrumentation. at Télécom Physique Strasbourg
English, Spanish, Chinese, French
Github Skills (18)
python10
reinforcement-learning10
physics10
symbolic-regression10
machine-learning9
deep-learning9
dynamics2
cosmology2
hierarchical2
parallelization2
simulation2
cuda2
stellar2
evolution2
planet2
Programming languages (2)
Github contributions (5)
WassimTenachi/PhySO
Mar 2023 - Mar 2025
Physical Symbolic Optimization
Contributions:2 releases, 8 PRs, 341 pushes in 2 years
deep-learningequation-discoverymachine-learningphysicspython
WassimTenachi/deep-symbolic-optimization-Wassim
Nov 2021 - Mar 2025
Source code for deep symbolic optimization.
Contributions:9 pushes in 3 years 4 months
optimizationsymbolicmachine-learning
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