Netza is a passionate fellow interested in computing research for global health technologies, including ubiquitous and pervasive strategies to prevent health hazards and the early detection of clinical conditions.
He received a Bachelor of Information Technology with distinction from the National Technological Institute of Mexico in 2009, the same year in which he was awarded first place at a thesis competition celebrated by the National Association of Education Institution in Information Technology.
In 2014 he received a Master of Science degree in Computer Science from the Ensenada Center for Scientific Research and Higher Education. Netza received his Doctor of Philosophy in Computer Engineering with a straight-pass viva honour from Ulster University in 2021. Following this, he joined the Institute of Biomedical Engineering at the University of Oxford, where he was appointed a Postdoctoral Research Fellowship.
- Ubiquitous and pervasive computing
- Global health technologies
- Transfer learning
- Federated learning
- Neural network modelling
Biomedical Image Analysis