Andres 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.
11 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
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