In this riveting interview, we have Dr. Marc Lanovaz, a University of Montreal professor at the forefront of integrating data science and machine learning in behavioral healthcare. We discuss the impact of cultural relevancy in behavior analysis, how machine learning can improve clinical decision-making in mental health, and a groundbreaking virtual reality application simulating the world from an autistic perspective. The discussion also delves into the utilization of machine learning in tracking and predicting behavior changes and workplace stress. Moreover, Dr. Lanovaz underlines the significance of reinforcement in behavior therapy and its potential in data-driven applications that could revolutionize behavioral science and mental health care.
Emotional Wellness
How curaJOY started
The Toll of Continuous (and Ineffective) Therapy on a Family For over five years, behavior therapists, counselors, and social workers came into our home 3 to 5 hours at a time, five days a week. My neurotypical daughter flipped out one day and said, “Mom, can we just have one
