Biography:
Simón Rodríguez Santana holds a degree in Physics from the Autonomous University of Madrid, a Master's in Theoretical Physics, and a PhD in Mathematical Engineering, Statistics, and Operations Research from the Complutense University of Madrid. As a researcher, his work focuses on the development of new techniques in probabilistic machine learning and statistics, combining the Bayesian perspective with the usual language of machine learning to solve real-world problems such as drug discovery, adversarial risk analysis, and time series prediction. He has published several high-impact articles in prestigious international journals and conferences, and has also participated in various national and international research projects, serving as principal investigator on two industrial projects. He is currently a professor at the School of Engineering (ICAI) at Comillas Pontifical University, where he is a tenured professor of courses in the degree program "Mathematical Engineering and Artificial Intelligence" and has supervised bachelor's and master's theses. He holds a PAD accreditation from ANECA and has been a visiting scholar at Aalto University (Espoo, Finland).
Areas of interest:
Probabilistic Machine Learning, Bayesian Statistics, Approximate Inference, Operations Research
Experience:
Postdoctoral researcher at the Institute of Mathematical Sciences (ICMAT-CSIC). Member of national and international research projects on applied machine learning research.
Skills:
Programming: Python (including Tensorflow and PyTorch), R.
Usage of LaTeX, Git, Slurm Workload Manager, LaTeX, Git, Rmd
Current research interests:
Machine Learning, Probabilistic Machine Learning, Approximate Inference, Bayesian Statistics
show 3 journal publications
Invited Conferences and Seminars
show 1 invited conferences and seminars
Organization of Scientific Meetings
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Organization of "7th symposium on Games and Decisions in Reliability and Risk". Real Academia de Ciencias. Madrid (Spain). May 2023.
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Organization of "11th Workshop on Bayesian Inference in Stochastic Processes". Real Academia de Ciencias. Madrid (Spain). Jun 2019.
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Organization of "13th Workshop on Bayesian Inference in Stochastic Processes". Real Academia de Ciencias. Madrid (Spain). May 2019.
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Organization of "2nd BYMAT Conference". ICMAT-CSIC, BYMAT Network y Fundación BBVA. Madrid (Spain). May 2019.
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Organization of "5th symposium on Games and Decisions in Reliability and Risk". Real Academia de Ciencias. Madrid (Spain). Jun 2017.
show 5 organization of scientific meetings
Other Activities
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Reviewer in "41st International Conference on Machine Learning - ICML 2024". Vienna (Austria). Jul 2024.
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Reviewer in "12th International Conference on Learning Representations - ICLR 2024". Vienna (Austria). May 2024.
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Reviewer in "37th Annual Conference on Neural Information Processing Systems - NeurIPS 2023". Neural Information Processing Systems Foundation. New Orleans (United States of America). Dec 2023.
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Reviewer in "11th International Conference on Learning Representations - ICLR 2023". Kigali (Rwanda). May 2023.
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Reviewer in "36th Annual Conference on Neural Information Processing Systems - NeurIPS 2022". Neural Information Processing Systems Foundation. New Orleans (United States of America) Online. Nov - Dec 2022.
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Reviewer in "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2022". Grenoble (France). Sep 2022.
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Reviewer in "39th International Conference on Machine Learning - ICML 2022". Baltimore (United States of America). Jul 2022.
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Reviewer in "10th International Conference on Learning Representations - ICLR 2022". Online. Apr 2022.
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Reviewer in "35th Annual Conference on Neural Information Processing Systems - NeurIPS 2021". Neural Information Processing Systems Foundation. Online. Dec 2021.
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Reviewer in "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2021". Online. Sep 2021.
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Reviewer in "9th International Conference on Learning Representations - ICLR 2021". Online. May 2021.