Emanuele Sansone
Postdoctoral Research Fellow at KU Leuven
Leuven, Flemish Brabant, Belgium
Summary
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Senior🎓
Top SchoolEmanuele Sansone is a postdoctoral researcher with nine years of experience at the intersection of statistical machine learning and logic, currently affiliated with MIT and KU Leuven. His work spans semi-supervised, positive-unlabeled, and unsupervised learning from a PhD at the University of Trento to research roles in industry and academia, focusing now on automating logical deduction for verification and embedding symbolic reasoning into neural models. He combines strong theoretical grounding—evident from contributions like a Bayesian mixture-of-factor-analysers model presented at MLSS—with practical research experience at Huawei and international collaborations. Based in Leuven, he also brings an unusual blend of discipline and coaching leadership from a parallel career as a ski master instructor and long-time competitive ski coach, a background that informs his collaborative and mentoring style.
9 years of coding experience
5 years of employment as a software developer
Telecommunications engineer Master of Science in Telecommunications Engineering, Telecommunications engineer Master of Science in Telecommunications Engineering at Università di Trento
Italian, English, German
Github Skills (14)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
ml9
deep-neural-networks9
neural-network9
pytorch-lightning8
temporal-data8
mixture-of-experts6
ray6
pytorch5
distributed-training3
Programming languages (3)
Github contributions (5)
emsansone/Classtering
Mar 2018 - Jul 2020
Contributions:20 commits, 24 pushes, 1 branch in 2 years 4 months
emsansone/emsansone.github.io
Aug 2016 - Mar 2025
Contributions:235 pushes, 1 branch in 8 years 7 months
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