Jesús
I was born and raised in the Dominican Republic, where I was exposed to poverty, inequity, and a lack of access to adequate mental health care. This early exposure to health disparities motivated me to pursue a career in mental health. As an adolescent, I moved to New York, where I majored in psychology. After graduating, I moved to Boston, working in various settings, including research labs, hospitals, clinics, and community organizations.
My experiences in the Dominican Republic, New York, and Boston have shaped my understanding of mental health and the challenges individuals and communities face. I am currently at George Mason University as a PhD student under the mentorship of Dr. Natasha Tonge. I am committed to engaging my skills, knowledge, and the George Mason community to improve the lives of others and conduct culturally sensitive clinical psychological science.
Ph.D. student in Clinical Psychology at George Mason University under the mentorship of Dr. Natasha Tonge
LINKEDIN: linkedin.com/in/jesús-hernández-a2aa9040
Session
Traditional psychology curricula focus heavily on frequentist parametric statistics (e.g., ANOVA, regression). However, as AI becomes ubiquitous, undergraduates can benefit from understanding the conceptual similarities and differences between these traditional models and Machine Learning approaches. This session aims to explore concrete strategies for introducing AI modeling to psych students. We will discuss how to use existing knowledge of linear models to explain ML concepts. We will also discuss whether AI literacy is best served as an integrated component of existing statistics courses or as a standalone Psychology AI requirement/elective. Participants can share pedagogical tools and reflect on how to transition students from point-and-click software to more flexible modeling frameworks. Whether you are a student, teach statistics, have experience with AI, or mentor students and researchers, join us to brainstorm a modern stats toolkit that prepares the next generation of psychological scientists for an AI-integrated field