Selected Research

When Reasoning Hurts Confidence: Demographic Calibration of Vision-Language Models in Medicine

S Xu, R Daneshjou

AAAI/ACM Conference on AI, Ethics, and Society, 2026

Med-REDUCE: Representation Transfer and Efficiency Under Resolution Constraints

V Bikia*, S Xu*, A Skrika, R Park, A Fanous, R Daneshjou

Medical Image Analysis, 2026 · *equal contribution

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models

S Xu*, JD Janizek*, Y Jiang, R Daneshjou

MICCAI, 2025 · *equal contribution

A Framework for Evaluating the Efficacy of Foundation Embedding Models in Healthcare

S Xu, H Gui, V Rotemberg, T Wang, YT Chen, R Daneshjou

medRxiv, 2024

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Experience

  • 2026 ML Engineering Intern, DatologyAI — distributed dataloading and ML infrastructure
  • 2025 LLM Guardrails SDE Intern, Amazon — Rufus LLM shopping assistant
  • 2025 ZK Research Engineering, Nethermind — post-quantum signature schemes
  • 2024 Student Research Fellow, Hoover Institution — technology policy and patent analysis

Open Source

Projects

  • 2025 TreeTrash — TreeHacks 2025 OpenAI Winner
  • 2024 Pacific Nurse Shark Conservation, Stanford Student Robotics — scaling conservation data for an endangered species with autonomous drones
  • 2023 PlastiVis — IEEE VIS 2023 Award Winner