Dr. Kleiman is a Research Assistant Professor and the Assistant Director of Data Science and Technology at CCBH. He received his PhD in Experimental Psychology from Florida Atlantic University. Dr. Kleiman’s research focuses on the ability of “neurobehavioral markers”, markers of non-intentional behavior within gaze and speech, to measure cognitive decline in healthy brain aging and early-stage cognitive impairment. His overall research explores the intersection between neurology, cognitive psychology, and data science. He has developed tools and machine learning models that use neurobehavioral markers as well as health records, cognitive exam scores, and neuroimaging data for assessing current impairment and predicting future risk of impairment. He has been awarded grants from the Alzheimer’s Association, the McKnight Brain Research Foundation, and the Florida Department of Health.