Mark Endo

Mark Endo

CS PhD Candidate at Stanford University

Hi! I am a PhD candidate in Computer Science at Stanford University, advised by Prof. Serena Yeung-Levy and Prof. Fei-Fei Li. My research focuses on foundational understanding of multimodal machine learning and its applications in healthcare. My research is graciously funded by the NSF Graduate Research Fellowship Program.

Before starting my PhD, I received my BS in Computer Science at Stanford. During my undergrad, I was fortunate to work with Prof. Ehsan Adeli, Prof. Pranav Rajpurkar, and Prof. Jiajun Wu.

Research


Downscaling Intelligence
VLMs in Surgery

Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence

arXiv Preprint

Anita Rau, Mark Endo, Josiah Aklilu, Jaewoo Heo, Khaled Saab, Alberto Paderno, Jeffrey Jopling, F. Christopher Holsinger, Serena Yeung-Levy
FEATHER
PD Subtyping

Data-Driven Discovery of Movement-Linked Heterogeneity in Neurodegenerative Diseases

Nature Machine Intelligence 2024

Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V. Sullivan, Li Fei-Fei, Victor W. Henderson, Kilian M. Pohl, Kathleen L. Poston, Ehsan Adeli

Motion Question Answering via Modular Motion Programs

ICML 2023

Mark Endo*, Joy Hsu*, Jiaman Li, Jiajun Wu
Evaluating CXR Progress

Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation

Patterns - Cell Press 2023 [September 2023 Issue Cover]

Feiyang Yu*, Mark Endo*, Rayan Krishnan*, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, Pranav Rajpurkar
GaitForeMer

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

MICCAI 2022 [Special Recognition Award for Outstanding Psychiatric Research]

Mark Endo, Kathleen Poston, Edith Sullivan, Li Fei-Fei, Kilian Pohl, Ehsan Adeli
CXR-RePaiR

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model

ML4H 2021

Mark Endo*, Rayan Krishnan*, Viswesh Krishna, Andrew Y. Ng, Pranav Rajpurkar
CheXseg