CV
You can find a detailed version of my CV here
Employment History
- Visiting Researcher Student, Stanford 2018
- main subject: “Event detection in PSG data with deep learning”
- supervisor: Emmanuel Mignot
- PhD candidate in machine learning 2015 – Present
- In parnership with Dreem and Télécom ParisTech
- Main subject: “Processing EEG with deep learning algorithms”
- Key fields: deep learning, transfer learning, domain adaptation
- Machine learning intern, Dreem 2015 (2 months)
- Design of a framework to benchmark several preprocessing techniques and classifiers jointly
- Application to a time series classification task
- Research intern Institut De la Vision 2014 (4 months)
- Neuroscience internship on vision (retina)
- Design of an non linear regressor applied to retinal spike trains decoding
Education Background
- PhD in machine learning Télécom ParisTech, 2015 – Present
- Master of Science “Operation research in mathematics” at TUM 2014 – 2016
- Engineer degree from École Polytechnique 2011 – 2014
Proficiencies
General skills
- Languages: English, German, Spanish
- Programming languages: Python, Matlab
- Computer science: Latex, Bash, GitHub
Machine learning skills
- General: scikit-learn, numpy, pandas, …
- Deep learning: Keras, Tensorflow, Theano, Pytorch