Avi Ramyead, Ph.D., is an experienced quantitative UX researcher and cognitive neuroscientist with a strong background in machine learning and statistical modeling applied to neuroscience. Notable positions include serving as a Staff Quantitative UX Researcher at Google focusing on YouTube Ads, and previously working at Meta as a Quantitative UX Researcher leading initiatives to enhance the developer experience. Avi has also held research roles at prestigious institutions, such as the University of California, San Francisco, and the Montreal Neurological Institute, contributing to significant advancements in understanding psychosis through brain imaging and EEG techniques. Educational background includes a Ph.D. in detecting psychosis using advanced statistical methods from the University of Basel and a Master of Science in Neuroscience from the University of Geneva. Currently, Avi is mentoring in the Business Analytics Program at Great Learning, guiding mid-career professionals in data science and analytical tools.
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