Simón Rodríguez Santana

Dr. Simón Rodríguez Santana is an Assistant Professor at the Higher Technical School of Engineering (ICAI) of Comillas Pontifical University, where he teaches in the Mathematical Engineering and Artificial Intelligence program. He holds a Physics degree from the Autonomous University of Madrid, a Master's in Theoretical Physics, and a PhD in Mathematical Engineering from Complutense University of Madrid. His research focuses on developing probabilistic machine learning and statistical techniques, particularly Bayesian methods applied to drug discovery, adversarial risk analysis, and time series forecasting.

Professional experience includes a postdoctoral position at the Institute of Mathematical Sciences (ICMAT-CSIC) and visiting scholar roles at Aalto University (Finland). He has led two industrial research projects and contributed to national/international initiatives. Technical skills include Python (TensorFlow/PyTorch), R, LaTeX, and Slurm.

Key research areas span probabilistic ML, Bayesian statistics, approximate inference, and operations research. Recent work emphasizes applications in personalized pricing strategies and AI-driven drug design. He has reviewed for top conferences (ICML, NeurIPS) and presented invited seminars on probabilistic ML applications.

Awarded PAD accreditation from ANECA, he actively engages in academic dissemination through media appearances like 'Casting the Future' podcast and external training programs such as Generative AI for Education. His current teaching includes tenure-track positions and thesis supervision at undergraduate and master's levels.