Irene De Teresa
Senior Data Scientist
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolIrene De Teresa is a Senior Data Scientist based in Paris with nine years of experience bridging applied mathematics, computer vision and production-scale ML. She holds a PhD in Applied Mathematics and has led impactful research-to-product transitions—from Cryo-ET deep learning tools used by the scientific community to geospatial and satellite-image pipelines at ENGIE. At Decathlon Digital she is scaling assortment optimization across countries using Databricks, AWS and Spark, having contributed to the first industrialization proof of concept. Irene combines rigorous mathematical modeling with hands-on engineering and client-facing product translation, and she has a track record of publishing high-impact work (first-author Nature Methods) while shipping reproducible ML systems. An uncommon strength is her experience spanning PDE-based inverse problems to fine-tuning LLMs and RAG workflows, enabling solutions that are both theoretically grounded and operationally robust.
9 years of coding experience
4 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Delaware
Spanish, Italian, English, French
Github Skills (8)
biology8
structural-biology8
autoencoder8
segmentation8
convolutional-neural-networks6
pipeline6
deep-learning5
neural-network3
Programming languages (1)
Github contributions (5)
irenedet/3d-cnn
Nov 2018 - Jun 2020
Contributions:135 commits, 99 pushes, 7 branches in 1 year 6 months
irenedet/3d-unet
Aug 2020 - Feb 2022
Contributions:17 commits, 35 pushes, 1 branch in 1 year 6 months
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