Englander Institute for Precision Medicine – AI Clinic

Join us for our AI Clinic meeting on Wednesday, February 11^th at 2:00pm ET. 

(note: more information will be covered outside of weekly topics)

Topic of Discussion for this week 

EHR mining and clinical trial matching via LLMs.

Session Leaders:

Jan Krumsiek, PhD

Associate Professor of Computational Biomedicine

Weill Cornell Medicine

AI Clinic Info:

EIPM's bi-weekly sessions (Wednesdays at 2pm-3pm) aim to enhance how we use LLMs for complex tasks, including coding. They will serve as a collaborative space for hands-on troubleshooting, knowledge sharing, and continuous learning.

Who is this for? This clinic is designed for our entire scientific and clinical community, with a special emphasis on trainees (students, postdocs, residents and fellows). It is the perfect forum for:

• Researchers and Scientists looking to apply LLMs to data analysis, coding challenges, or manuscript writing.
• Clinicians interested in exploring how AI tools can securely optimize research and workflows.
• Trainees seeking a supportive, hands-on environment to learn and get guidance on applying advanced LLMs to their specific projects.

What participants can expect from these sessions:

• Collaborate with our most LLM-proficient team members (“Super-Users”) to troubleshoot and refine their work.
• Present real challenges they are encountering (e.g., coding issues, complex prompts, workflow optimization).
• Potentially share “micro-presentations” when someone discovers a new model, feature, or technique.

Our goals are to:

Build internal expertise and share best practices. Help participants overcome real technical challenges, and create a community of practice around practical AI use. 

We are currently seeking Super-Users who demonstrate expertise in coding and experience with AI tools such as Chat GPT 5.2, Gemini 3.0, & Claude 4.5 Opus. We are also seeking participants who are looking for troubleshooting guidance.

 All skill levels are welcome, from beginners to advanced users.

Reach out to Victoria Cummings (vjc4001@med.cornell.edu) should you have any questions or inquiries.