Jeffrey Girard is an associate professor of psychology who blends clinical science, computational methods, and social psychology to study how emotions and interpersonal communication manifest in verbal and nonverbal behavior. With a PhD in Clinical Psychology and postdoctoral training at Carnegie Mellon in machine learning and verbal behavior, he runs the Affective Communication and Computing lab and directs the Brain, Behavior, and Quantitative Science program at the University of Kansas. He translates interdisciplinary research into practice through teaching intensive data science bootcamps, running Girard Consulting LLC, and co-founding SMaRT Workshops to train researchers and practitioners in applied ML and statistics. His work uniquely links clinical assessment (including inpatient psychiatry and trauma treatment experience) with scalable computational tools, informing both basic science and real-world applications with partners such as Meta AI.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, PSYCHOLOGY, Bachelor of Arts - BA, PSYCHOLOGY at University of Washington
Predoctoral Clinical Internship, Predoctoral Clinical Internship at University of Mississippi Medical Center
Doctor of Philosophy - PhD, Clinical Psychology, Doctor of Philosophy - PhD, Clinical Psychology at University of Pittsburgh
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