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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I love you. How Asian Parents Express Love.
One of our volunteers thanked me for believing in her and “I love you.” I was taken aback for a moment because she’s Asian, and we Asians don’t tell each other, “I love you!” 😭 Only Westerners and movies do that mushy emotional stuff. We only dream about it. Asian parents give kids food…
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My Journey with AI in Mental Health: A Therapist’s Hopeful Perspective
Let’s begin by talking about our wonderfully complex brains. You know those times when you make a decision and later think, “Wait, why did I do that?” Well, you’re not alone! We all have these things called cognitive biases. They’re not just us being silly; they’re actually our brains taking shortcuts that sometimes lead us…
Read more >> about My Journey with AI in Mental Health: A Therapist’s Hopeful Perspective
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