Postdoctoral Research Fellow at Mila - Quebec AI Institute
Montreal, Quebec, Canada
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Summary
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Rockstar
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Top School
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.
5 years of coding experience
2 years of employment as a software developer
Classes Préparatoires PCSI-PC, Classes Préparatoires PCSI-PC at Lycée Albert Schweitzer
PhD Astrophysics, PhD Astrophysics at Université de Strasbourg
Master of Science Astrophysics, Master of Science Astrophysics at University of Strasbourg
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