Alexandre Popoff

Research Scientist Machine Learning AI at Philips

Greater Paris Metropolitan Region France
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Summary

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Senior
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Top School
Alexandre Popoff is a research scientist in machine learning and AI with 10 years of experience bridging physical sciences and data-driven solutions, currently developing deep learning and computer vision tools for image-assisted interventional procedures at Philips. Trained as an engineer and PhD in organic chemistry and nanosciences, he has led data science teams at Saint‑Gobain and managed industrial projects on thin film deposition, giving him rare domain expertise in materials, process control and applied ML. His work spans medical imaging, industrial and marketing analytics, and computational chemistry, with strong skills in neural networks, data visualization and production-oriented languages like Python, Spark, C and Java. A board member of the Society for Mathematics and Computation in Music, he also pursues mathematical formalization of music—an interdisciplinary thread that informs his inventive approach to modeling and visualization.
code9 years of coding experience
job5 years of employment as a software developer
bookDiplôme d'Ingénieur ESPCI Spécialisation Chimie, Diplôme d'Ingénieur ESPCI Spécialisation Chimie at ESPCI Paris - PSL
bookDoctor of Philosophy (PhD) Organic Chemistry / Nanosciences, Doctor of Philosophy (PhD) Organic Chemistry / Nanosciences at Université Paris VI - Commissariat à l'Energie Atomique
bookMaster 2 Organic Chemistry, Master 2 Organic Chemistry at Pierre and Marie Curie University
languagesFrench, English, Swedish, modern arabic, Hindi, Russian
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Github Skills (4)

journal5
open-access5
academia4
creative-commons4

Programming languages (1)

Python

Github contributions (5)

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AlexPof/mark2epub

Sep 2019 - Jul 2021

Create ePub books from Markdown files
Contributions:1 review, 2 commits, 1 PR in 1 year 10 months
AlexPof/ur3-viz

Jul 2018 - Nov 2018

Contributions:32 commits, 29 pushes, 1 branch in 4 months
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Alexandre Popoff - Research Scientist Machine Learning AI at Philips