Florian Tilquin, Phd

Machine Learning Engineer at Biosency

Florian Tilquin, Ph.D., has a diverse work experience in the field of machine learning and data science. Florian is currently working as a Machine Learning Engineer at Biosency, where they develop predictive algorithms for signals extracted from a wrist-worn sensor and also handles data processing and visualization. Prior to this, they were a post-doctoral researcher at the Laboratoire Traitement du Signal et de l’Image (LTSI) / INSERM, where they focused on deep learning techniques for image registration and style transfer in the context of radiotherapy applications.

Florian Tilquin obtained their Ph.D. in Signal, Image, Automation, and Robotics from the University of Strasbourg. Their doctoral research revolved around the early detection of Alzheimer's disease using statistical learning methods. During their time at the university, they also contributed to teaching activities, delivering 192 hours of instruction on statistical learning, signal processing, and numerical analysis, as well as working on math and computer science projects for engineering students. Florian also had a research internship during their master's degree, where they worked on semi-dense non-rigid image registration for CT and MRI abdominal images using random forests and supervoxel decomposition.

In addition to their academic experiences, Florian Tilquin had a research internship at the University of Oxford, Department of Physics, during their undergraduate studies. Florian worked on approximate Gaussian process regression for analyzing astronomical time-series data from the Kepler mission under the supervision of Suzanne Aigrain and Steven Reece. Before their internship at Oxford, Florian Tilquin worked as a teaching assistant at Lycée Chaptal.

Overall, Florian Tilquin's work experience showcases their expertise in machine learning, data science, deep learning, statistical learning, medical image processing, and astronomical data analysis.

Florian Tilquin, Phd's education history can be summarized as follows:

Florian started their education in 2011 at Lycée Charlemagne (75011), where they pursued studies in an unspecified field. Florian then continued their education at Lycée Paul Valéry (75012), studying CPGE MPSI/MP.

In 2012, Florian enrolled at École Normale Supérieure Paris-Saclay, where they completed their Master 2 (M2) degree in Applied Mathematics. It is not specified when they graduated from this program, but it can be assumed that they finished it in 2016 or earlier.

Overall, Florian Tilquin's education includes a Master's degree in Applied Mathematics from École Normale Supérieure Paris-Saclay, as well as prior studies in an unspecified field at Lycée Charlemagne and Lycée Paul Valéry.

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Timeline

  • Machine Learning Engineer

    January, 2022 - present