← People
Niloufar Golchini

MD/MS Candidate

Niloufar Golchini

UC Berkeley–UCSF Joint Medical Program

Scholar LinkedIn Twitter/X

Niloufar Golchini is a medical student at the UCSF School of Medicine and UC Berkeley Joint Medical Program. She did her undergraduate degree at UC Berkeley focusing on Metabolic Biology and Data Science. Recently, her work has focused on real-world benchmarking of LLMs in medicine, developing machine learning methods for clinical reasoning, and the evaluation and translation of AI tools in the clinical workflow.

Publications

ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room
Nikita Mehandru, Niloufar Golchini, Namrata Garg, Kathy LeSaint, Christopher Nash, Anu Ramachandran, Travis Zack, Liam McCoy, Adam Rodman, David Bamman, Melanie Molina†, Ahmed Alaa† (†Co-senior authors)
arXiv preprint · 2026
Paper Code Data
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack
ICML 2025 · Oral Presentation
Paper
Physician-versus Large Language Model-Generated Summaries in the Emergency Department
Niloufar Golchini, Nikita Mehandru, Ahmed Alaa†, Melanie Molina† (†Co-senior authors)
medRxiv · 2025
Paper