Roberto Ayala Solares
Jose Roberto Ayala Solares
Machine Learning Scientist
Dr. Ayala Solares is a machine learning scientist at The George Institute for Global Health. He is involved in Deep Medicine, a programme of research being led by Dr. Kazem Rahimi, which aims to combine expertise in medicine, epidemiology and machine intelligence in using ‘Big Data’ to improve health and clinical care.
He got his PhD from the Department of Automatic Control and Systems Engineering at The University of Sheffield in the United Kingdom in 2017 focusing on Machine Learning and Data Mining for Environmental Systems Modelling and Analysis. He has done research in Fluid Dynamics, Simultaneous Localization and Mapping, Wireless Sensor Networks in Cognitive Radio Regimes, and System Identification using NARX models. He received his MSc in Applied Mathematics and Computational Science from the King Abdullah University of Science and Technology (KAUST) in the Kingdom of Saudi Arabia in 2011, and he received his BSc in Mechatronics Engineering with Summa Cum Laude from the Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) in Mexico City in 2008.
His research interests include:
- Predictive modelling
- Statistical, machine and deep learning
- Bayesian analysis
- Nonlinear system identification
- Data mining
- Data visualisation