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
JCR: 1,175 Q2 (2019); 1,400 Q3 (2022) - SJR: 0,563 Q2 (2019); 0,439 Q2 (2022) 
