Cameron is an expert on the implementation of EEG and fMRI. He has developed the leading technologies in gradient artifact correction and balistocardiogram artifact timing. He has also developed techniques to simplify and increase the reliability of EEG source imaging. Beyond Neuro-AI, Cameron also co-founded Se Quepa, a company that develops novel and simple technologies to aid in neuroimaging. In addition, he teaches Principles of Neuroimaging at UCLA. Previously, he has served as Technical Director for New Health Partners LLC and as the Head of Technical Development at UCLA’s Staglin Center for Cognitive Neuroscience. Beyond MRI and EEG, he has a multidisciplinary background, including research in radio astronomy at the Arecibo Radio Telescope in Puerto Rico as well as developmental neurobiology and human mesenchymal stem cells.

Mark's training is equal parts engineering and neuroscience. His contributions include his critical role in the development of practical echo-planar scanning, ultra-fast MRI applications, contrast-based and BOLD functional MRI, applications of linear systems analysis to increase fMRI sensitivity and resolution, and concurrent recordings of EEG and fMRI to better understand brain dynamics and distributed processing. He and his lab have contributed to an understanding of the power of pattern recognition and machine learning to both interpret/classify neural data and as a source of discovery of the processes that result in cognition, perception, emotion and pathology. Mark holds appointments in the UCLA Departments of Psychiatry, Neurology, Radiology, Biomedical Engineering, Psychology and Biomedical Physics and is a member of the California NanoSystems Institute.

Ariana is an Assistant Research Statistician at UCLA, an NIH funded investigator, and a recent recipient of the Burroughs Wellcome Fund 2014 Career Award at the Scientific Interface. She was a featured speaker at the Institute of Medicine on how to address the placebo response in drug studies and worked with Dr. Karl Friston at University College, London on approaches to relaxing Bayesian priors in Dynamic Causal Models. She previously served as an early career reviewer (ECR) for the NIH study section: Small Business: Neuro/Psychopathology, Lifespan Development, and STEM Education (RPHB 12) as well as a reviewer for the NSF.