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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Dear Daughter, And to Every Young Person Feeling the Pressure
Junior year of high school can feel like a battleground. You’re loaded up with AP classes, preparing for the SAT, outdoing each other in extracurricular activities and trying to map out a future that everyone says depends on this one year. “It’s make or break time.,” they tell you. I’ve been feeling frantic, depressed, and…
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Breaking the Entry-Level Hiring Cycle:
A Call for Employers and Young Professionals to Collaborate We have a system that isn’t set up for the benefit of either job seekers or employers. On the one hand, recent graduates are desperate for a foot in the door; on the other, employers face a deluge of applications and quiet quitting, and without a…
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