Alex‘s research is best described as computational psychiatry. He investigates the applicability of neural and mathematical models, derived from cognitive neuroscience, to questions in clinical domains. His experimental work utilizes reinforcement learning tasks to examine cognitive processes implicated in obesity. Additionally, Alex uses computational modeling and machine learning to examine dysfunctional cognitive processing in disordered eating and ADHD.
Prior to coming to Duke for his PhD, Alex worked for two years with RTI International conducting health communications research. He graduated magna cum laude from Duke in 2014, with degrees in biology and psychology. Please check out his personal website and connect with him on LinkedIn.
