Ruben Martinez-cantin
Associate Professor
Zaragoza, Aragon, Spain
Summary
👤
Senior🎓
Top SchoolRuben Martinez-cantin is an associate professor and researcher with 15 years of experience building machine learning, robotics, and computer vision systems, with deep expertise in reinforcement learning, active learning and Bayesian methods. He focuses on assistive bioengineering, developing vision and ML technologies that enhance capabilities for both patients and clinicians. Ruben has bridged academia and industry as a scientific advisor and research engineer at SigOpt, where he worked to make Bayesian optimization practical for real-world applications. His work blends rigorous probabilistic modeling with hands-on system-building, often emphasizing sample-efficient learning and decision-making under uncertainty. Based in Zaragoza, Spain, he combines long-term academic mentorship with applied research that targets translational impact in healthcare.
15 years of coding experience
19 years of employment as a software developer
Ph. D., Ph. D. at Universidad de Zaragoza
Spanish, English, Portuguese, French
Github Skills (17)
toolbox10
experimental-design10
stochastic10
bayesian10
hyperparameter-tuning10
optimization10
jupyter-notebook8
jupyter7
notebook7
gaussian7
jupyterlab6
robustness5
gaussian-processes5
benchmarking5
benchmark5
Programming languages (5)
Github contributions (5)
rmcantin/bayesopt
Feb 2011 - May 2020
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Contributions:488 commits, 3 PRs, 25 pushes in 9 years 4 months
bayesopttoolboxoptimizationmultiobjective-optimizationstochastic
romarcha/cantin_bo
Oct 2011 - Jul 2014
Contributions:365 commits in 2 years 9 months
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