Research

I am a reader/associate professor at the Dept. of Computational Sciences of the National Institute for Astrophysics, Optics and Electronics (INAOE). Also, until Dec 2015 I held an honorary lectureship at the Dept. of Surgery and Cancer at Imperial College London. I am member of the Mexican National System of Researchers, Level II (SNI-II).

I work with other computer scientists, engineers, and physicists, and work closely with clinicians of different specialties, including surgeons and neurorehabilitation specialists. This collaboration brings me special satisfaction, and has teach me so much that I cannot thank my clinicians enough.

I'm part of the biomedical signal processing and medical computation laboratory where I develop my main activity. In the past, I have also been part of the robotics laboratory.

Research Interests

My research interests are data analysis and interpretation of neuroimages. This involves multidisciplinary research from computing (mainly) but also mathematics and statistics but also requires me to have notions of physics (optics) and neuroscience. These neuroimaging analysis and interpretation skills I'm applying to different topics, including; neurorehabilitation.

Neuroimaging
Analysis and interpretation of functional neuroimaging across different modalities; mainly optical neuroimaging (fNIRS), but also to a smaller extent fMRI and more recently EEG. It is strongly linked to previous work I did in biomedical signal understanding, as some models may include data from non brain sources.
Virtual Rehabilitation
Motor neurorehabilitation facilitated by means of virtual environments. It involves research on biomedical engineering, human-computer interaction, affective computing, artificial intelligence and serious games.

Past Research Interests

In the past, I have also done some research in other areas although due to my human limitations I'm less and less capable of doing research along these lines. Nevertheless, I will still love to hear any ideas about research related to these lines if you are interested.

Biomedical signal understanding
Computational modelling for the understanding and interpretation of medical concepts and applications from different sources such as eye-tracking, electrocardiogram (ECG) and others. It is strongly linked to the neuroimaging research line, as some models may include brain data.