Volta Medical

Research and implement machine learning solutions to assist heart surgeons during catheter ablation.

3 patents filed, 2 internships supervised, 2 scientific publications and a whole medical device product cycle accomplished for a Machine / Deep learning algorithm and a signal processing algorithm mostly on time series data type. The implementation have been done from structuring and collecting a database, prototyping models while staying up-to-date in the scientific fields and integrating it into a production ready, documented product.

Far-Field Intracardiac Electrograms Removal Enables Highly Reliable Automatic Cycle Length Estimation During Atrial Arrhythmia: https://ieeexplore.ieee.org/abstract/document/10081767
A Machine Learning Based Approach for Localization of Atrial Tachycardia Origin: https://ieeexplore.ieee.org/document/10081644

Working environment: 
Python (pytorch, sklearn, ...), Gitlab, Docker, MLOps
ISO 13485, V-Model & Agile method
CNIL GDPR certification

Data Scientist

SUPERNOVA INNOVATION

Work in a multicultural and multilangual context, in the Shenzhen French Tech
environment. Monitoring of various hardware manufacturing in chinese fac-
tories (moulding, CNC, packaging, etc).

Voluntary work in Supernova Innovation

Zeta

4 months to create and achieve a realisable project to enrich knowledge in Tinnitus, in a freshly created startup (minor supervision), in a poor data environment: Automatic forecast of a therapy outcome on EEG data, to be pre-processed. Creation and implementation of a probabilistic graphical model from scratch.

Data scientist 

Aix-Marseille Université

Statistical analysis of IRM data, graph representation, detrented fluctuation analysis and correlation analysis. 

Co-author of a submitted publication : D. Battaglia T. Boudou, E. Hansen, S. Chettouf, A. Daffertshofer, A. Randal McIntosh, J. Zimmerman, P. Ritter and V. Jirsa, Functional Connectivity Dynamics of the Resting State across the Human Adult Lifespan.

Research Scientist in the Theoretical Neurosciences Group of Institute for Systems Neuroscience

Dexia

Insertion in an intern C++ library of new pricing methods with complex stochastic model. Data extraction on Bloomberg. The aim was to validate wether or not the hypothesis 'constant basis spread' is sensible.

Quant in the team of Dexia Crédit Local market models validation

Universidade de Lisboa

Replication of the results of D. Kristensena & A. Mele, Adding and subtracting Black-Scholes: A new approach to approximating derivative prices in continuous-time models, supervised by Isabel Simão and João Nunes

Research internship in probability

My strong suits are mathematics, python development and machine (deep) learning. Over the next few years, I intend to continue to develop further as a engineer capable to enrich the research and transpose the cutting-edge to any relevant specific field.

Taplio

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