e-HAIL Event

AI-Enabled Scalable Counselor Training for Global Mental Health in Low- and Middle-Income Countries

Rada Mihalcea, PhDJanice M. Jenkins Collegiate Professor of Computer Science and Engineering, Professor of Electrical Engineering and Computer Science, Director of the AI Lab, e-HAIL Co-ConvenerU-M College of EngineeringJohn Piette, PhD, MPHProfessor of Public Health, Health Behavior and Health EducationU-M School of Public HealthVeronica Perez-Rosas, PhDAssistant Research Scientist, Computer Science and EngineeringCollege of EngineeringLongju BaiPhD StudentUniversity of MichiganYe Chan Kim, MSI, MSce-HAIL ProgrammerMichigan Medicine/College of EngineeringLynae Darbes, PhDProfessor, NursingU-M NursingDarlin ManciaPsychologist
WHERE:
Remote/Virtual
WHEN:
Friday, February 13, 2026 @ 2:00 pm - 3:00 pm
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Worldwide crises, including conflicts, public health emergencies, climate change, and natural disasters, have significantly increased psychological distress globally, creating a growing demand for mental health support that far exceeds the available counseling workforce in low- and middle-income countries (LMICs). We will discuss our project that integrates AI and public health to build a scalable and culturally-grounded counselor training and assessment infrastructure, thereby addressing the limited access and quality of mental health services in LMICs. Building on our strengths in global mental health training, advanced natural language processing, and community-grounded research in LMICs, we are working to develop and evaluate an AI-enabled platform that supports hands-on counselor training, reflective skill development, and automated actionable feedback on real counseling sessions

Zoom information will be sent to e-HAIL members.

Organizer

e-HAIL