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Research
My research background is extensive. I have a heavy background in experimental methodology and data analytics (e.g., machine learning). The bulk of my research experience lies within human cognition where I studied top-down biasing in object recognition and attention in both the real and virtual environments. More recently, I have studied community psychology. Specifically, I study poorly understood chronic illnesses such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-acute sequalae COVID-19 syndrome (PACS). I study the epidemiology, physiology (e.g., immune markers), and psychological factors of such illnesses. I also study the social network dynamics of persons in a recovery home.
Courses Taught
Keywords
cognition, object recognition, attention, community epidemiology, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), COVID-19, substance use, substance recovery, social dynamics, data analytics