Leto Peel
Assistant Professor at Maastricht University School of Business and Economics
Maastricht, Limburg, Netherlands
Summary
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Senior🎓
Top SchoolLeto Peel is an assistant professor and researcher with a decade of experience at the intersection of mathematics, computer science, and networked data, currently based in Maastricht. His work focuses on machine learning and data mining for relational data, with a deep emphasis on community and role detection in social and complex networks. He has a strong academic trajectory including postdoctoral research in Europe and the US, an EngD from UCL, and applied research experience from BAE Systems, giving him both theoretical depth and practical insight. Leto blends complexity-science training (Santa Fe Institute) with experience in spatio-temporal and crime-pattern mining, enabling interdisciplinary approaches to real-world network problems. Colleagues know him for bridging rigorous methods and applied impact, often uncovering structure in noisy, relational datasets that traditional approaches miss.
10 years of coding experience
15 years of employment as a software developer
Complex Systems Summer School, Complex Systems Summer School at Santa Fe InstituteMEng, Knowledge Engineering, MEng, Knowledge Engineering at University of BristolA-Levels, Maths, Physics, Chemistry, Art, A-Levels, Maths, Physics, Chemistry, Art at King Edward VI Camp Hill, BirminghamUniversity College London
Github Skills (1)
scala6
Programming languages (3)
Github contributions (5)
piratepeel/MultiscaleMixing
Apr 2018 - Jun 2022
Contributions:1 release, 14 commits, 1 PR in 4 years 3 months
piratepeel/neoSBM
Nov 2016 - Nov 2019
A new type of SBM
Contributions:19 commits, 1 PR, 7 pushes in 3 years
type-ofscalasbm
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