Adam Chang

Adam Chang is a graduate student in Urban Data Science at the NYU Tandon School of Engineering, specializing in machine learning methods in healthcare settings. He holds a Bachelors degree in Applied Psychology also from NYU and has worked in both clinical and computational capacities within the fields of Psychology and Psychiatry. He holds a specific interest in Machine Learning Applications within clinical and public health settings, with current research investigating how geospatial and location-aware digital therapeutics can enhance patient outcomes and clinical workflows.