Tommaso Caneva
Data Science Team Lead
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolTommaso Caneva is a Data Science Team Lead with 11 years of experience bridging academic physics research and industry-grade machine learning and big data solutions. He holds a PhD in Condensed Matter Physics and brings a rare combination of deep numerical simulation and optimization expertise (Fortran, C++, Matlab) alongside modern production tooling (Python, R, Spark, Hadoop). Tommaso has led data teams at Frontiers and Glovo, delivering growth and content analytics, and previously collaborated with MIT and Harvard on high-impact research projects. He is fluent in three languages and comfortable in interdisciplinary international teams, often turning complex mathematical models into scalable products. A detail often overlooked: his background in optimal control and quantum systems underpins a methodical, optimization-first approach to ML model design and performance tuning.
11 years of coding experience
6 years of employment as a software developer
Degree, Physics, Degree, Physics at Università degli Studi di Firenze / University of FlorencePh.D., Condensed Matter Physics, Ph.D., Condensed Matter Physics at Scuola Internazionale Superiore di Studi Avanzati di Trieste
Italian, English, Spanish, German, FrenchGithub contributions (5)
tcaneva/hello-world
Mar 2015 - Oct 2015
Contributions:6 commits, 4 PRs, 5 pushes in 7 months
first-repository
tcaneva/deploying-machine-learning-models
Apr 2020 - Apr 2020
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Contributions:14 PRs, 11 pushes, 8 branches in 1 day
deploymentmachine-learningexample-repoproductionmachine-learning-models
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