Speaking & Media
My speaking focuses on generative AI in healthcare, digital health, consumer health informatics, and the responsible evaluation and implementation of emerging technologies. I speak to academic, healthcare, and professional audiences about how AI can be designed, assessed, and deployed to better support patients and healthcare organizations.
Available speaking topics include:
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Generative AI in Healthcare
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Evaluating Patient-Facing Generative AI
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AI and Mental Healthcare
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Responsible AI Adoption and Deployment
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AI Evaluation, Safety, and Trust
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Digital Health and Patient Engagement
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Human-Centered Design of Health Technologies
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Consumer Health Informatics
For speaking engagements, panels, media commentary, and collaboration inquiries, please get in touch.
Upcoming Speaking
Health AI Summit 2027
Featured Speaker | March 3, 2027
"Evaluating Patient-Facing Generative AI in Mental Healthcare Before Deployment"
This talk will examine how patient-facing generative AI tools in mental healthcare can be evaluated before real-world deployment, with particular attention to technical performance, clinical validity, expert assessment, user perceptions, and risk-based evaluation.
Selected Speaking
International Conference on Information Systems (ICIS) 2025
"Gen AI-Enabled Chatbot for Self-Managing Academic Stress"
A presentation of the development and evaluation of a generative AI-enabled chatbot designed to support college students in managing academic stress.
"Generative AI in Mental Healthcare"
A presentation examining current approaches to generative AI in mental healthcare and considerations for evaluating patient-facing Gen AI applications.
American Public Health Association (APHA) Annual Meeting & Expo 2024
A presentation exploring opportunities, emerging applications, and considerations surrounding the use of generative AI in healthcare.
Americas Conference on Information Systems (AMCIS) 2024
"Critical Review of Digital Health Equity: Challenges in Conceptualization and Operationalization"
Research examining how digital health equity is conceptualized and measured and identifying challenges for the design and evaluation of equitable digital health technologies.
Media & Features
University of Memphis Research & Innovation 2025
"UofM Researchers Develop AI Chatbot to Support Student Mental Health"
Feature on research developing and evaluating a generative AI-enabled chatbot designed to help college students manage academic stress and support psychological well-being.