Turning AI potential into practice.
I help educators and organizations use AI to improve teaching, learning, and work.
About
I'm an Education, Technology, and Innovation Specialist at Michigan State University's Colleges of Human and Osteopathic Medicine, where I lead the design and deployment of AI-enhanced learning across medical education programs.
I hold a Ph.D. in Educational Psychology & Educational Technology from MSU and bring 15+ years of experience spanning instructional design, faculty development, and educational technology leadership. My work focuses on turning emerging AI capabilities into practical, responsible tools that faculty and students actually use.
Experience
Recognition
Expertise
Agentic AI Workflows
Building and deploying AI agent systems for education and research.
Instructional Innovation
Designing forward-thinking curricula and interactive digital tools to enhance learning.
Faculty/Staff Development
Empowering educators to responsibly adopt, integrate, and teach with emerging AI systems.
Projects
ClinicalMind AI
Role: PI, MSU–Stanford research collaboration
Audience: Medical Students
An AI-based standardized patient encounter simulator that lets medical students practice clinical communication skills with an audio-only AI patient and receive structured feedback. I serve as Principal Investigator (IRB-approved) on the MSU side of a research collaboration with Stanford University.
The AI Kitchen
Role: Creator & Developer
Audience: Faculty, Staff & Students
The AI Kitchen is a self-designed AI literacy platform I built for faculty, staff, and students across MSU's Colleges of Human Medicine and Osteopathic Medicine. Using a "kitchen" metaphor, it pairs a prompting framework and governance guide with a searchable terminology glossary, a six-module interactive Academy with scored practice challenges, a curated tutorial library, and task-specific AI "Recipes" by tool. It serves as both a training hub and a live demonstration of applied instructional design.
OSCE Video Grader
Role: Creator & Developer
Audience: Medical School Faculty
Leverages Google Omni AI to help medical school faculty evaluate and score OSCE video recordings significantly faster and more cost-effectively, generating structured draft assessments to streamline faculty grading. Currently in the experimental testing phase.
Prototype-to-Practice Pipeline
Role: Creator
Audience: Medical School Faculty/Staff
An institutional pipeline that enables faculty and staff to use AI to build and securely host custom applications, with built-in code review, structural safety checks, and hosting infrastructure. Developed in collaboration with MSU IT, Burwood Consulting, and Google; I organized the partners and am leading the initial round of pipeline testing.
Publications
Peer-reviewed journal articles on curriculum alignment and technology integration.
AI Talks & Webinars
Invited keynotes, skill-building workshops, and featured educational technology sessions.
Future-Ready Physicians: Integrating Digital Health Competencies in Osteopathic Medical Education with Michigan State University Innovation Spotlight
An innovation spotlight on integrating AI and digital health competencies into clinical education at Michigan State University.
AI in Action: Practical AI Workshop for Faculty & Staff
A live, hands-on workshop guiding medical school faculty and staff through practical AI workflows—covering institutional data privacy essentials, prompt engineering with the 'Ask me questions before proceeding' technique, role-specific practice tracks (clinicians, basic science faculty, and staff), and practical task redesign. Participating faculty earned Continuing Medical Education (CME) credits.
Developing AI-Enhanced Curricula
Practical frameworks and pedagogical strategies for embedding generative AI competencies into medical school curricula.