Rémy Wahnoun
Head of Data Science / CSO | AI, Machine Learning
Salary / Daily rate
Paris, France
Permanent contract
Skills
Languages
About me
Intro
- Machine learning & AI Models from research to production; metabolite and biomarker concentration estimation from spectral and impedance data; abnormal pattern and event detection in physiological signals; clinical classification and outcome modeling along patient pathways; deep learning (TensorFlow), classical ML (scikit-learn); clinical validation and performance tracking. - Signal processing time series and time-frequency analysis Spectral methods, artifact rejection, signal quality assessment; EEG, ECoG, single-unit, ECG, polysomnography, spectrophotometry, impedance measurements. - Engineering & MLOps Python (modular, object-oriented, production code), C++ (15+ years), Matlab; SQL, MongoDB; AWS, Azure and AzureML; Docker, CI/CD, git, MLflow (experiment tracking, model registry), monitoring; distributed computing, real-time inference; agentic AI-assisted development (Claude Code, local AI), multi-agent workflows grounded with curated knowledge bases, systematic scientific validation loops. - Clinical & regulatory Study design, FDA clearance, CE marking, patents, EHR/EMR, CPT/ICD, ontologies and knowledge bases, patient pathway. - Leadership Building heterogeneous teams, cross-functional roadmaps, scientific strategy, mentoring, grant writing. - Domain & foundations Quantitative spectrophotometry; neuroengineering, brain-computer interfaces, neuroprosthetics, epilepsy; cardiology and polysomnography; mathematics and computer science.
Work experience
Head of Data Science
Usense
Feb 2023 - Present
3 years 9 months
Paris, France
Built a production data science platform for point-of-care urine analysis — machine learning and deep learning models estimating urine biomarker concentrations, including infection markers and porphyria, from multimodal spectrophotometry and impedance measurements. Dashboards to track device signal quality over time, request analyses etc. Data ingestion and normalization, signal conditioning, feature extraction, model training, validation and deployment on Azure.
Data Scientist (Freelance)
FreelanceFreelance
Aug 2022 - Mar 2023
8 months
Paris, France
Deep learning model (TensorFlow) for detection and classification of epileptic spikes in EEG, for BioSerenity.
BioSerenity
Mar 2016 - Aug 2022
6 years 6 months
Paris, France
Director of Data Science
Aug 2019 - Aug 2022
3 years 1 month
Paris, France
Based at the Brain and Spine Institute (ICM), Paris. Led a multidisciplinary 14-person team delivering signal processing and AI models for cardiology, neurology and polysomnography products. Directed the design of a production distributed-computing platform on AWS, serving real-time models to downstream services. Shipped production pipelines extracting physiological biomarkers, scoring signal quality and detecting clinical events for diagnostic assistance and telemedicine. Delivered the DS platform documentation for BioSerenity's FDA 510(k) submissions — Neuronaute EEG system (K202334, cleared Dec 2020) and Neuronaute with IceCap 2 (K223644, cleared Jan 2023).
Chief Scientific Officer, Lead Data Science
Sep 2016 - Aug 2019
3 years
Paris, France
Scientific strategy and regulatory: planned internal and external scientific studies, participated in FDA clearance, CE marking, and patent portfolio. Founded the science/data science team inside a company scaling from 30 to over 700 people. Directed core algorithm R&D: automated signal quality assessment, physiological biomarker detection, clinical classification.
Bioengineering Research Manager
Mar 2016 - Aug 2016
6 months
Paris, France
Manager, Bioengineering Research Group
Phoenix Children's Hospital Woldwide
Sep 2012 - Jul 2015
2 years 11 months
Phoenix, AZ, USA
Created and ran a bioengineering research laboratory within the neurosurgery and neuro-intensive care units, supervising students, residents and staff. Brain-computer interfaces: 3D cursor control by thought from ECoG; somatosensory and language cortical mapping — the basis of two granted US patents. Epilepsy and critical care: spatiotemporal characterization of seizure evolution; automated multimodal neuromonitoring in the ICU (Moberg CNS). Combined functional cortical mapping with seizure-focus localization to define the minimal resection for epilepsy surgery — removing the epileptogenic zone while sparing eloquent cortex. Built a neurosurgical outcomes platform: patient pathways reconstructed from hospital databases via ICD and CPT codes, with an app for residents to capture 3- and 6-month post-operative follow-up, producing dashboards that compared outcomes across surgical techniques for the same procedure, so surgeons could choose which technique to favor on measured outcomes. Built the signal processing pipelines and statistical models in Matlab and C++ over large clinical datasets (EEG, ECoG), including acquisition and SQL storage; led grants, publications and patent work.
Assistant Professor, Scientist Track
Barrow Neurological Institute
Oct 2012 - Jul 2015
2 years 10 months
Phoenix, AZ, USA
Held concurrently with the research role at Phoenix Children's Hospital.
Arizona State University
Aug 2008 - Jul 2014
6 years
Tempe, AZ, USA
Adjunct Faculty
Oct 2012 - Jul 2014
1 year 10 months
Tempe, AZ, USA
Held concurrently with the research role at Phoenix Children's Hospital.
Postdoctoral Researcher
Aug 2008 - Oct 2012
4 years 3 months
Phoenix, AZ, USA
Built a real-time system for precise control of a virtual reality environment directly from brain signals (C++, Matlab). Studied cortical adaptation during BCI use — how brain behavior and signal patterns change as subjects learn to drive the interface. Engineered Matlab algorithms for artifact removal and spectral analysis of high-density microwire and ECoG recordings. Bridged the Sensorimotor Research Group at ASU and Phoenix Children's Hospital.
Programmer (part-time)
Judex A/S
Oct 2000 - Oct 2002
2 years 1 month
Aalborg, Denmark
Audio codecs for neural signal processing and storage, and a DirectX visual stimulator for SSVEP recording, for the Viking clinical system (Nicolet).
Programming Intern
IFP (French Petroleum Institute)
Apr 2000 - Aug 2000
5 months
92500 Rueil-Malmaison, France
Real-time expert system anticipating hydraulic failures during drilling, with multimodal signal processing and monitoring (C++, Gensym G2).
Programmer
IBM-Axone
Jul 1998 - Aug 1998
2 months
93160 Noisy-le-Grand, France
Nightly batch optimization (sales, network statistics, databases) for 58 FNAC stores; C and shell under Unix (HP9000); real-time intranet dashboards for server status.
Sound Engineer Trainee
France 3
Jul 1996 - Jul 1996
1 month
Vanves, France
Sound and video engineering at a French national television channel.
Education
Arizona State University
Ph.D., Bioengineering
2002 - 2008
6 years 1 month
Activities and societies: ■ Co-creation d'un groupe de plus de 400 étudiants internationaux: IntASU ■ Création d'un groupe de musique Latin-Jazz: UnderCurrent
Thesis: "Towards Applicable Neuroprosthetics: Enhanced Algorithms and Brain-Machine Adaptation" DARPA "Revolutionizing Prosthetics 2009". Algorithms allowing Rhesus macaques to control a robotic arm and a virtual environment directly in 3D by thought, via microwire arrays implanted in sensory and motor cortex. Modeling and decoding of spiking activity; C++, Matlab, statistical analysis.
ESIEE PARIS
Diplome d'ingenieur (M.Sc.), Electronics & Signal Processing
1998 - 2002
4 years
Activities and societies: Président du club Musique
Double degree with Aalborg Universitet. Simulation of calcium dynamics in cardiac myocytes (Inserm-ESIEE). Graph planarization using a Kohonen SOM neural network combined with a deterministic algorithm.
Aalborg University
M.Sc., Biomedical Engineering
2000 - 2002
2 years 1 month
Thesis: "Estimation and Representation of the Wrist Trajectory from Neural Signals" EEG-based brain-computer interface for spelling. Classification of neural signals for bladder implants (in pigs). Automatic detection of cardiac disease from audio recordings.
Université Paris-Est Marne-la-Vallée
Licence (B.Sc.), Mathematics & Computer Science
1996 - 1999
3 years 1 month
Licenses & certifications
Custom and Distributed Training with TensorFlow
Issued: Aug 2022
Custom Models, Layers, and Loss Functions with TensorFlow
Issued: Aug 2022
Diabetes Disease Detection with XG-Boost and Neural Networks
Issued: Aug 2022
Convolutional Neural Networks
Issued: Jul 2022
Sequence Models
Issued: Jul 2022
Neural Networks and Deep Learning
Issued: Jul 2022
Deep Learning Specialization
Issued: Jul 2022
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Issued: Jul 2022
Structuring Machine Learning Projects
Issued: Jun 2022
TensorFlow for AI: Get to Know TensorFlow
Issued: Jun 2022