2026–2027 Emerging Leaders Fellows

STFM announces the 2026–2027 class of the STFM Emerging Leaders Fellowship. Find a list of the fellows below. This fellowship is for new family medicine faculty and those who are transitioning to leadership roles.

January 25, 2026 — STFM is happy to announce the 2026–2027 class of the Emerging Leaders Fellowship.The class will attend two conferences: the 2026 STFM Annual Spring Conference and the 2027 STFM Annual Spring Conference. Fellows also attend a mid-year workshop in Kansas City, KS.Below is the 2026–2027 class of the fellowship, which includes 20 behavioral science/family systems educators:

  • Nina Ball, MD, HCA Healthone Swedish Family Medicine, Englewood, CO
  • Kenneth Barning, MD, Baylor College of Medicine
  • Lauren Boehm, MD, MaineHealth Maine Medical Center
  • Williams Childs, DO, Henry Ford Health System Family Medicine Residency, Detroit, MI
  • Amrutha Denduluri, MD, Boston University
  • Courtney Goettel, MD, MS, University of Pittsburgh Medical Center Williamsport Family Medicine Residency, Pittsburgh, PA
  • Jessica Hudson, DO, Henry Ford Providence Family Medicine Residency, Southfield, MI
  • Priya Kohli, MD, University of Virginia
  • Nhi-Kieu Nguyen, DO, Northeast Georgia Medical Center
  • Amber Norris, MD, University of Arkansas for Medical Sciences
  • Lorna Ringwood, MD, PhD, EVMS Family Medicine at Old Dominion University
  • Crystal Romero, MD, University of Florida
  • Cassiopeia Roychowdhury, MD, Tower Health Reading Hospital Family Health Care Center, West Reading, PA
  • Karie Schwertman, MD, Southern Illinois University
  • Victoria Shepard, MD, Family Medicine Residency at the University of Texas, Austin, TX
  • Humza Siddiqi, MD, University of Texas Southwestern
  • Reagan Summers, MD, Marian Family Medicine Residency, Santa Maria, CA
  • Alexandra Targan, MD, University of Michigan
  • Viet Nguyen, MD, Swedish First Hill Family Medicine Residency, Seattle, WA
  • Sarah Wiggill, MD, MSc, Florida Atlantic University

Overview of the STFM Emerging Leaders Fellowship

This competitive, yearlong fellowship offers training, tools, and support for new family medicine faculty and those who are transitioning to leadership roles. Participation in all fellowship activities including in-person workshops is required for graduation.Fellows will learn critical leadership skills, take on a leadership role right from the beginning of the program, lead a team project and presentation, and connect with family medicine leaders who will share insights on motivation and managing difficult situations.

Ask a Question
AI Chatbot Tips

Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:

Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:

Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:

Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:

Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:

Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

Double Check Important Information

While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

Technical Limitations

The Chat Assistant:

  • Cannot access external websites or open links
  • Cannot process or view images
  • Cannot make changes to STFM systems or process transactions
  • Cannot access real-time information (like your STFM Member Profile information)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.