Summary
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.
9 years of coding experience
5 years of employment as a software developer
Diplôme d'Ingénieur ESPCI Spécialisation Chimie, Diplôme d'Ingénieur ESPCI Spécialisation Chimie at ESPCI Paris - PSL
Doctor of Philosophy (PhD) Organic Chemistry / Nanosciences, Doctor of Philosophy (PhD) Organic Chemistry / Nanosciences at Université Paris VI - Commissariat à l'Energie Atomique
Master 2 Organic Chemistry, Master 2 Organic Chemistry at Pierre and Marie Curie University
French, English, Swedish, modern arabic, Hindi, Russian