Isabel Valera
Full Professor at Universität des Saarlandes
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolIsabel Valera is a Full Professor of Machine Learning at Saarland University and a research group leader at the Max Planck Institute for Intelligent Systems, blending academic leadership with high-impact research. With an 11-year career shaped by postdoctoral stints at Cambridge and Max Planck institutes and a PhD from Universidad Carlos III de Madrid, she specializes in probabilistic modeling, Bayesian nonparametrics, and temporal models such as HMMs and point processes. Her work focuses on capturing complex, time-dependent and heterogeneous real-world phenomena while producing interpretable models that keep humans in the loop. She applies rigorous approximate inference and optimization methods across domains from bioengineering and psychiatry to social systems, often bridging theory and applied problem-solving. An unassuming throughline in her trajectory is a consistent pivot toward models that make uncertainty and temporal structure actionable for decision-making.
11 years of coding experience
8 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Telecommunication Engineering, Telecommunication Engineering at Universidad Politécnica de CartagenaMaster thesis, Master thesis at Universität Hannover / University of Hannover
Spanish, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (3)
probabilistic6
machine-learning4
data-science3
Programming languages (2)
Github contributions (5)
ivaleraM/DataTypes
Jun 2017 - May 2018
Contributions:9 commits, 7 pushes, 1 branch in 11 months
dalimeeting/dalimeeting.github.io
Dec 2016 - Sep 2019
DALI: Data, Learning and Inference
Contributions:282 commits, 27 PRs, 274 pushes in 2 years 9 months
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