Andres Masegosa
Associate Professor
Copenhagen Metropolitan Area Denmark
Summary
👤
Senior🎓
Top SchoolAndres Masegosa is an associate professor at Aalborg University Copenhagen with 11 years of international academic and research experience in probabilistic machine learning and data mining. He has co-authored over 50 papers across applied domains—from bioinformatics and information retrieval to crime prediction and sales-force allocation—and has a strong track record translating research into industry use cases for financial and automotive partners. His work on scalable probabilistic methods includes contributions to the AMIDST toolbox and leading an INFER.py probabilistic programming project for big-data ML. A seasoned conference speaker and collaborator across top European research centers, he combines deep theoretical expertise in Bayesian models with practical experience deploying solutions at scale. An under-the-radar strength is his sustained focus on making probabilistic models usable in real-world streaming and enterprise contexts.
12 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Engineering, A, Bachelor's degree, Computer Engineering, A at Universidad de Granada
English, Spanish
Stackoverflow
26reputation
243reached
1answer
1question
Github Skills (53)
keras-tensorflow10
user-friendly10
data-science10
del10
graphical-models10
machine-learning10
java10
bayesian-methods10
streaming-data10
generative-model9
probabilistic-programming9
probabilistic-models9
tensorflow9
statistics8
variational-inference8
Programming languages (5)
Github contributions (5)
amidst/toolbox-usecases
Aug 2015 - Aug 2015
Contributions:14 commits, 13 pushes, 1 branch in 14 days
PGM-Lab/probai-2021-pyro
Jun 2021 - Nov 2021
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
Contributions:35 commits, 3 PRs, 33 pushes in 5 months
aimachine-learningprobabilistic-programmingprobabilistic-modelsvariational-inference
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