Michael is a Research Assistant Professor at the University of Miami Miller School of Medicine's Comprehensive Center for Brain Health. He specializes in using artificial intelligence and machine learning techniques to investigate the cognitive behavior and medical records of patients with Alzheimer's disease and other forms of dementia, enabling the disorders to be more accurately and thoroughly researched.
Michael received his doctorate from Florida Atlantic University by exploring the ability to streamline Alzheimer's detection in clinical settings using electronic medical records. He has since received awards from the Alzheimer's Association, the American Academy of Neurology, the McKnight Brain Research Foundation, and the Florida Department of Health.
I have been wholly impressed by [Michael's] commitment, focus, drive, "coachability", and strategic vision.
Great teacher. Great power points. Gives good feedback and wants students to succeed. Tests are made easier by the help he gives. Take him.
Michael was always willing to help me with any questions or concerns and showed a genuine interest for students to learn the material. He is a great professor!
Assistant Director of Data Science and Technology. In addition to researching neurobehavioral markers of neurodegeneration, leads team of data scientists and analysts to maintain efficient data collection and processing standards and support other researchers in the Comprehensive Center for Brain Health.
Investigate patient behavior and medical records to improve the detection of cognitive disorders, including Alzheimer's disease and other dementias
Instructor of Neuroscience, Human Development, and Cognition
Developed deep learning models to classify Alzheimer's disease from MRI scans // Cleaned and restructured behavioral and neuroimaging data // Prepared visualizations using Tableau and Python
Used deep learning to categorize human populations based on behavioral and cognitive data, including personality typing, chess expertise prediction, and clinical disorder classification // Mentored undergraduate students in research, programming, and writing // Prepared lectures, created and graded assessments, and provided continuous feedback
Focus: Deep learning classification of dementia subtypes using electronic health records, cognitive exams, behavioral tasks, and physical functioning data
Focus: Using eye movement behavior to investigate how people act differently in video conferences when they can or can't be seen
Focus: Circadian rhythms in D.melanogaster and humans
Screening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning
Kleiman, Barenholtz, & Galvin, 2021
Perception of being observed by a speaker alters gaze behavior
Kleiman & Barenholtz, 2020
The rest of my publications can be found on my Google Scholar or OrcID
Michael is a Research Assistant Professor at the University of Miami Miller School of Medicine's Comprehensive Center for Brain Health. He specializes in using artificial intelligence and machine learning techniques to investigate the cognitive behavior and medical records of patients with Alzheimer's disease and other forms of dementia, enabling the disorders to be more accurately and thoroughly researched.
Michael received his doctorate from Florida Atlantic University by exploring the ability to streamline Alzheimer's detection in clinical settings using electronic medical records. He has since received awards from the Alzheimer's Association, the American Academy of Neurology, the McKnight Brain Research Foundation, and the Florida Department of Health.
