Wassim Tenachi

Postdoctoral Research Fellow at Mila - Quebec AI Institute

Montreal, Quebec, Canada
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Summary

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Wassim 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.
code5 years of coding experience
job2 years of employment as a software developer
bookClasses Préparatoires PCSI-PC, Classes Préparatoires PCSI-PC at Lycée Albert Schweitzer
bookPhD Astrophysics, PhD Astrophysics at Université de Strasbourg
bookMaster of Science Astrophysics, Master of Science Astrophysics at University of Strasbourg
bookDiplôme d’ingénieur Physics, Computer Science, Diplôme d’ingénieur Physics, Computer Science at Télécom Physique Strasbourg
languagesEnglish, Spanish, French, Chinese
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Github Skills (20)

python10
machine-learning10
reinforcement-learning10
deep-learning10
physics10
symbolic-regression10
conda8
conda-forge6
planet4
hierarchical4
parallelization3
dynamics3
orbital-mechanics3
cosmology2
simulation2

Programming languages (2)

C++Python

Github contributions (5)

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WassimTenachi/PhySO

Mar 2023 - Feb 2026

Physical Symbolic Optimization
Contributions:2 releases, 8 PRs, 419 pushes in 3 years
deep-learningmachine-learningphysicspythonreinforcement-learning
Source code for deep symbolic optimization.
Contributions:9 pushes in 3 years 4 months
optimizationsymbolicmachine-learning
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