Jonathan Vacher
Maître De Conférences (associate Professor)
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJonathan Vacher is an associate professor (Maître de Conférences) at Université Paris-Cité with a decade of experience at the intersection of applied mathematics and visual neuroscience. His research career spans postdoctoral positions at École normale supérieure and Albert Einstein College of Medicine and centers on dynamic texture synthesis to probe vision in electrophysiology and psychophysics. He combines rigorous mathematical modeling with experimental approaches to study visual processing, bringing theory to bear on neural data. Based in Paris, he equips students and collaborators with quantitative tools for vision science and has a track record of translating texture synthesis algorithms from theory into experimental stimuli. An unexpected strength is his sustained focus on synthetic stimuli design as a methodological bridge between mathematical abstractions and perceptual experiments.
10 years of coding experience
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Université Paris DauphineMaster Mathématiques, Vision, Apprentissage, Mathématiques appliquées, Mention Bien, Master Mathématiques, Vision, Apprentissage, Mathématiques appliquées, Mention Bien at École Normale Supérieure de Cachan
French, English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (28)
python10
machine-learning10
gpu10
algorithms9
numpy9
neural-network9
deep-learning9
scientific-computing8
gpu-acceleration8
autograd8
statistics8
tensor8
scipy8
data-science7
data-analysis7
Programming languages (3)
Github contributions (5)
JonathanVacher/texture-interpolation
Oct 2020 - Dec 2020
Contributions:18 commits, 17 pushes, 1 branch in 1 month
JonathanVacher/JonathanVacher.github.io
May 2019 - Feb 2022
Contributions:50 commits, 226 pushes, 1 branch in 2 years 9 months
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