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.

Advancing Behavioral Healthcare through VR & Machine Learning: A Conversation with Dr. Marc Lanovaz
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The Missing Middle
This July, during the launch of curaJOY’s Impact Fellowship, I had a sobering realization. These were some of the brightest high school and college students we had ever worked with—motivated, passionate, and full of ideas. Yet, many had never written a research paper. Few had been asked to conduct original investigations or engage in meaningful…
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curaJOY helps adapt behavioral healthcare to different cultures
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