ACS CLINICAL CONGRESS PRESENTATION PRACTICE
Presented by General Surgery Residents from the Department of Surgery at Stanford University.
Each week, S-SPIRE hosts a hybrid-model Work-In-Progress session (WIP) for faculty members and trainees to present their research and receive feedback. These run from September through May each year.
Our monthly WIP sessions (first Monday of every month) features Stanford and guest faculty presentations of well-developed projects. This WIP provides an opportunity to discuss high impact research and create synergy within the Stanford HSR/Surgery communities.
Our weekly WIP sessions feature trainees and faculty projects in every phase of development—from drafting specific aims pages, to parsing grant review committee comments, to abstracts/papers/methods in preparation.
Anyone can attend and happy hour conditions apply here too.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by: Christopher Stave, MLS, Librarian, Lane Medical Library, Stanford University
Talk Title: Literature Review
Bio: Christopher Stave, MLS, is a Research & Instruction Librarian at Lane Medical Library. Christopher has extensive experience in medical and academic libraries and plays a key role in guiding users in evidence-based medicine, systematic reviews, and advanced research methodologies. Christopher is also the library liaison for the Departments of Graduate Medical Education, Surgery, Emergency Medicine, and Pediatrics.
For inquiries, please contact Ana Mezynski.
Presented by; Jeff Choi, MD, General Surgery Chief Resident, Department of Surgery, Stanford University
Talk Title: TBD
Bio: General surgery resident (2017-2025; administrative chief resident 2024-2025), incoming surgical critical care fellow (2025-2026). MS in Epidemiology & Clinical Research (2019-2020), and Biomedical Informatics (2020-2022). Ex-president of Surgeons Writing About Trauma. Founding course instructor of SURG238: Practical Introduction to Surgical Research.
My research vision is to save or better the most possible number of lives using data. Our group focuses on:
1) building and implementing useful clinical prediction tools
2) bringing various AI applications (e.g. NLP, vision) to the bedside
3) challenging dogma in surgical practice with contemporary data
My passions are advocating for higher statistical and machine learning methodology quality in surgical literature , and fostering the growth of the next generation of surgeon data scientists.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>