Hadrien Jean
Machine Learning Scientist at iAudiogram - My Medical Assistant
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolHadrien Jean is a Machine Learning Scientist based in Paris with 10 years of experience applying deep learning and signal processing to speech and auditory data, currently building production-ready ASR models and ML infrastructure at iAudiogram. He combines academic rigor from a PhD in cognitive science with hands-on engineering—designing web-based auditory experiments, deploying Django APIs, and shipping models on Google Vertex AI. He has taught and authored practical material on linear algebra and essential math for data science, and contributes explanatory deep learning notes and PCA/SVD code on GitHub. Comfortable across Python, R, TensorFlow/Keras, and full-stack tooling, he blends neuroscience-informed experimentation with reproducible production pipelines for audiology applications.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Cognitive Science, Master's degree, Cognitive Science at Ecole normale supérieureBachelor's degree, Psychology, Bachelor's degree, Psychology at Université Paris DescartesMaster's degree, Musicology, Master's degree, Musicology at Sorbonne University
Stackoverflow
1,993reputation
845kreached
23answers
23questions
Github Skills (16)
pca10
principal-component-analysis10
linear-algebra10
numpy10
machine-learning9
data-analysis8
javascript6
plot6
save6
google-app-engine6
python6
r6
google-colaboratory6
matplotlib6
indexeddb6
Programming languages (11)
Github contributions (5)
hadrienj/deepLearningBook-Notes
Sep 2017 - May 2020
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Role in this project:
Data Scientist
Data ScientistContributions:81 commits, 8 PRs, 40 pushes in 2 years 7 months
Contributions summary:Hadrien contributed to the notes on the Deep Learning book by Goodfellow, Bengio, and Courville. Their commits focused on completing sections on linear algebra, including creating notes on the determinant and singular value decomposition. They also worked on principal component analysis, including code examples and plotting, showing a focus on data manipulation and interpretation.
notesaarondeep-learningtensorflowdeep-learning-book
hadrienj/StaircaseJS
Apr 2016 - Jun 2020
Contributions:20 commits, 1 PR, 16 pushes in 4 years 3 months
adaptivejavascriptprocedure
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