Experience

Reykjavik University

• Iceland
• Higher Education
• 300 - 400 Employee

• Postdoctoral researcher in the Sleep Revolution project

  • Oct 2022 - Present

  Develop statistical learning algorithm applied to the Obstructive Apnea Syndrome diagnosis and associated diseases. Member of the Sleep Revolution project (https://sleeprevolution.eu/en/home/). Develop statistical learning algorithm applied to the Obstructive Apnea Syndrome diagnosis and associated diseases. Member of the Sleep Revolution project (https://sleeprevolution.eu/en/home/).



Scalian

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Research engineer / Data Scientist

  • Sep 2017 - Oct 2022

  Data science R&D projects: - Machine learning application of natural language processing. Application of common tools as term frequency-inverse document frequency analysis, Word2Vec, Sequence-toSequence, BERT application in Python. - Statistical analysis of people's behaviour in virtual game. 3D trajectory visualization, clustering and analysis in R. - Deep learning application of satellite image processing and Geoscience topic in Python. - Manage software engineers to present… Show more Data science R&D projects: - Machine learning application of natural language processing. Application of common tools as term frequency-inverse document frequency analysis, Word2Vec, Sequence-toSequence, BERT application in Python. - Statistical analysis of people's behaviour in virtual game. 3D trajectory visualization, clustering and analysis in R. - Deep learning application of satellite image processing and Geoscience topic in Python. - Manage software engineers to present the results in web services - Write final report to capitalize R&D knowledge.

• Internship in statistical modeling applied to ensemble weather forecast analysis

  • Feb 2017 - Aug 2017

  Deployment of current machine learning technics to analysis the ensemble forecast delivered by the Global Ensemble Forecast Model from the NOAA. Conception of a simple clustering algorithm to isolate important forcast errors and to display the results into a data visualisation interface.



Institut de recherche en mathématiques à Rennes (IRMAR) et Scalian DS

• Rennes, Bretagne, France

• PhD in Post-processing of ensemble forecasts in meteorology using statistical learning methods

  • Apr 2018 - Dec 2021

  Statistical modelling for multivariate ensemble weather forecast calibration in order to increase the value of this meteo service product. Analysis of the errors present in the ensemble forecast. Deployment of traditional machine learning method. The conception of a novel gaussian mixture to cluster multivariate ensemble forecast series and to improve the error correction method applied to ensemble weather forecast. The PhD manuscript is available here http://www.theses.fr/2021REN1S113. Statistical modelling for multivariate ensemble weather forecast calibration in order to increase the value of this meteo service product. Analysis of the errors present in the ensemble forecast. Deployment of traditional machine learning method. The conception of a novel gaussian mixture to cluster multivariate ensemble forecast series and to improve the error correction method applied to ensemble weather forecast. The PhD manuscript is available here http://www.theses.fr/2021REN1S113.



INSA Rennes

• France
• Higher Education
• 100 - 200 Employee

• Engineer degree

  • Sep 2014 - Aug 2017

  Applied mathematics field Applied mathematics field