Célia Benquet
Visiting Research Scholar at Harvard University
Cambridge, Massachusetts, United States
Summary
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RockstarCélia Benquet is a visiting research scholar based in Cambridge, MA with eight years of interdisciplinary experience at the intersection of computational neuroscience and engineering. Currently pursuing doctoral research with the Adaptive Motor Control Lab, she investigates belief state computations in the dopamine system under Harvard mentorship while combining experimental and computational approaches. Her background spans developing signal-quality models for physiological data, building discrete behavioral representations with deep learning (e.g., VQ‑VAE), and hands-on neurobiology techniques from tissue processing to image analysis. Comfortable in both wet- and dry-lab settings, she has designed human and animal experiments and implemented analysis pipelines in Python and MATLAB. She brings a rare blend of practical lab skills and machine learning expertise, enabling translational studies that link neural circuits to behavior. Colleagues rely on her ability to move projects from data acquisition through modeling to interpretable results.
8 years of coding experience
1 year of employment as a software developer
Swedish, German, English, French
Github Skills (16)
heart-rate10
contrastive-learning10
signal-processing9
entropy9
machine-learning9
pytorch9
electrophysiology8
eda8
connectivity8
signal8
computational-neuroscience8
toolbox7
python7
neuroscience7
deep-learning7
Programming languages (2)
Github contributions (5)
CeliaBenquet/CEBRA
Jun 2023 - Feb 2025
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Contributions:15 pushes, 6 branches in 1 year 8 months
CeliaBenquet/ML_course
Sep 2019 - Dec 2019
EPFL Machine Learning Course, Fall 2019
Contributions:29 pushes in 2 months
falldata-sciencemachine-learning-coursemachine-learning2019-fall
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