Max Hinne
Associate Professor
Nijmegen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolMax Hinne is an associate professor in Nijmegen with 11 years of research and teaching experience at Radboud University and the University of Amsterdam, specializing in Bayesian modeling, cognitive neuroscience, network analysis, machine learning, and statistics. He earned a cum laude PhD investigating Bayesian inference of the human connectome and progressed from PhD student to assistant and now associate professor, blending methodological rigor with applied neuroscience. Max has a track record of translating complex probabilistic methods into practical research tools and has industry experience in sentiment mining for the Dutch energy market. He is comfortable spanning theory and implementation, mentoring students and leading interdisciplinary projects that connect computing, cognition, and data-driven network science.
11 years of coding experience
11 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Radboud UniversityKandinsky College, Nijmegen
Stackoverflow
3reputation
843reached
0answers
1question
Github Skills (19)
abap6
gaussian5
bayesian5
matlab5
statistics4
gpy4
stan4
python3
inference2
stochastic2
bayesian-inference2
optimization2
density-estimation2
stochastic-processes2
machine-learning1
Programming languages (4)
Github contributions (5)
mhinne/BNQD
Nov 2019 - Jul 2022
Contributions:51 commits, 38 pushes, 3 branches in 2 years 8 months
LucaAmbrogioni/GP-CaKe-project
Jul 2017 - Nov 2018
Contributions:38 commits, 36 pushes in 1 year 4 months
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