Michaël Ughetto
Director - Biological Insights Knowledge Graph - AI Strategy & Innovation
Mölndal, Sweden
Summary
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Senior🎓
Top SchoolMichaël Ughetto is a data-driven AI and graph technology leader with nine years of experience translating complex scientific problems into production-scale solutions, currently directing the Biological Insights Knowledge Graph and AI Strategy & Innovation at AstraZeneca. Trained as a PhD experimental particle physicist, he brings deep expertise in large-scale, compute-intensive statistical analysis and machine-learning classification developed on international collaborations like ATLAS at CERN. He is fluent in Python and C++ and has progressed from hands-on graph data science to engineering leadership, shaping knowledge-graph architectures that connect biology and AI. Known for bridging research rigor with product delivery, he combines academic discipline—such as developing multivariate flavour-tagging algorithms and spectrum calculators—with practical experience in industry data science. Based in Mölndal, Sweden, he is driven by bringing AI into everyday life and scaling scientific insight into impactful, production-ready systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Constituants élémentaires, Doctor of Philosophy (Ph.D.), Constituants élémentaires at Université des Sciences et Techniques du Languedoc (Montpellier II)
French, English, German
Github Skills (93)
coverage10
shiny-apps10
plot10
personalization10
nvidia10
mod-manager9
pandas9
siggraph9
opencl9
slice9
neo4j9
cypher9
rank9
recommender9
graph-algorithms9
Programming languages (9)
Github contributions (5)
AstraZeneca/skywalkR-graph-features
Nov 2021 - Feb 2022
Contributions:1 release, 2 commits, 1 push in 3 months
mughetto/hep
Apr 2017 - Aug 2017
Contributions:7 pushes, 3 branches in 4 months
golangmonogo-hephepmono-repository
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