

Chris Shaltry, Ph.D.
Education, Technology
and Innovation Specialist
College of Human Medicine
College of Osteopathic Medicine
Michigan State University
Empowering Education Through Innovation
>20
K-20
Consulting/Teaching
Years of Experience


✨ AI integration
💻 EducationAL techNOLOGY
💡 instructional innovation
👥 Faculty development
🖌️ Special effects makeup
Expertise
Much of my work is at the intersection of education, academic innovation, and generative AI as an "AI translator" of sorts, helping institutions turn rapidly expanding AI capabilities into usable, trustworthy, high-value outcomes.
Generative AI has shifted many domains (e.g., coding, curriculum design, scholarly writing, and ideation) from scarcity to abundance: draft content can now be produced at an extraordinary scale by non-experts. The new bottleneck is no longer “creating” work but rather constraining, evaluating, and advancing it.
My expertise is building and teaching practical strategies for limiting and shaping AI outputs, then vetting, filtering, and routing them through human and organizational workflows so quality improves rather than collapses under volume. I help teams develop an “algorithmic” discipline so they can focus attention on what matters, reduce noise, and move promising drafts toward implementation.
Without clear methods for triage and quality assurance, institutions risk overwhelming experts, diluting good ideas within low-quality output, and slowing adoption of genuinely valuable innovations - expanding access to creation while protecting standards, decision-making, and downstream execution.
ClinicalMind AI
Made available through my research collaboration with Stanford, ClinicalMind AI helps MSU medical students strengthen their clinical communication skills using conversational AI.
EMR Simulator
The EMR Simulator (PPS) is an interactive training tool I'm developing to help students practice navigating EMRs and responding to patient portal messages.




Virtual Lab
Projects & Experiments
AAMC Webinar Series: AI Skill Building for Medical Educators
Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance
View the Recording | Access SlidesSession 6: Developing AI-Enhanced Curricula
View the Recording | Access Slides [links coming soon]
MSU Educator Developers Network:
Old Habits, New Tools: Encouraging Engaged Learning with AI
Access Slides
AI for Educators Series
From Overwhelmed to Empowered: Practical Advice for Navigating AI in Higher Ed
Access SlidesInnovation Pathways: AI for Educators Workshop
Access Slides
MSU CHM Academy Retreat 2025
AI Pathways: Medical Education
Access Slides
MSU COM
AI in Learning Series: Study Strategies with NotebookLM
Access Slides
Invited Talks on AI
AACOM 2025 - Automating Content Classification in Medical Literature for Accreditation with AI

