I received my MSc degree in Computing Science and Artificial Intelligence from the National Center for Research and Technological Development, Mexico, in 2009,  and completed my PhD in biomedical image (eye fundus) analysis with computer vision and stochastic methods at the University of Sheffield in 2016. 

After completing my PhD, I worked in industry as Research and Development Engineer enhancing autopilot systems in UAVs with computer vision and machine learning. Later in 2016, I joined the University of Sheffield as Research Associate where I collaborated in a sparse number of UKRI and EPSRC funded projects developing research based on computer vision and machine learning including, quantitative analysis of motile cells in microscope video sequences, multi-agent stochastic modelling and simulation of occupants in non-domestic buildings, and unlocking remote-based robot operations in hazard environments with machine learning and natural language processing.

I joined UEA as Lecturer in Computer Vision and Machine Learning in January 2022. My research interest is mainly focused on semantic segmentation of biomedical images with image processing and machine learning for diagnosis and evaluation of treatments of cardiovascular-related diseases; and modelling human activities with sensor data.

In my spare time I am a keen triathlete, competing at middle (Half-Ironman) and long (Full-Ironman) distances.

Deputy Senior Adviser

Daniel teaches Computer Vision and Machine Learning