
Margaux Luck
Data Scientist

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About me
Senior Applied Machine Learning Research Scientist
Education

Université Paris Descartes
2010 - 2012Bachelor of Applied Science - BASc Biomedical Sciences, General
AgroParisTech - Institut des sciences et industries du vivant et de l'environnement
2012 - 2014Master's degree Foods, Nutrition, and Wellness Studies, GeneralActivities and Societies: Member of the board of directors, AgroParistech Service Etudes, AgroParisTech's Junior Entreprise. - 10-month internship in bioinformatics (metabolomic profiling). Supervised by Pr. Laurence Le Moyec.

Université Paris Descartes
2015 - 2018PhD in Bioinformatics Machine learning applied to health data- Developed ML models for metabolomics and multi-source data analysis. Supervised by Dr. Nicolas Pallet.- Doctoral Internship | Polytechnique Montreal – Applied deep learning to survival data analysis. Supervised by Pr. Andrea Lodi, and Dr. Héloïse Cardinal.

Université de Montreal
2019 - 2020Postdoctoral Fellowship Computer Science (Deep Learning)Researched CNN architectures for diabetic retinopathy screening using multi-fundus images. Supervised by Pr. Yoshua Bengio.
Experience

Institut HyperCube
Dec 2014 - Jun 2017Data Scientist- Collaborated with Paris Descartes University on Ph.D. research, developing predictive models to analyze patient data and optimize treatments.- Worked with multidisciplinary teams, including healthcare professionals, to translate biomedical problems intodata-driven solutions.- Published research findings and presented insights at conferences.

Mila - Quebec Artificial Intelligence Institute
Jun 2017 - nowSenior Applied Machine Learning Research Scientist- Experience across multiple sectors, including energy, healthcare, digital music, cosmetics, and operational optimization. Contributions to various projects involving anomaly detection, medical image analysis, AI for therapeutic music applications, as well as healthcare service and industrial process optimization.- Develop and optimize deep learning models for industry clients, primarily in healthcare applications, integrating state-of-the-art techniques through literature reviews.- Analyze datasets at project initiation, ensuring data quality and extracting key insights for model development.- Lead deep learning projects, defining research direction, coordinating tasks, and ensuring client alignment.- Mentor colleagues and advise clients, providing AI consulting and technical guidance to support best practices.- Communicate complex AI concepts, tailoring explanations for both technical and non-technical audiences.- Publish AI research in top-tier conferences, when permitted by clients. Show less
Licenses & Certifications
- View certificate

TRAIL (Trustworthy & Responsible AI Learning) Certificate for Industry
Mila - Quebec AI InstituteOct 2023
Languages
- frFrançais
- anAnglais
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