Ben Warner

b.c.warner [at] wustl.edu

I'm a second year PhD student at Washington University in St. Louis studying Computer Science under the supervision of Chenyang Lu. I'm interested in applying natural language and EHR foundation models to healthcare problems, and much of my previous work has dealt with tabular, time-series, and natural language data.

I also have an BS/MS in Computer Engineering from Washington University, and a BA in Computer Science from Pacific Lutheran University.

CV / Google Scholar / GitHub / Hugging Face
Twitter / LinkedIn

Research

	Measuring cognitive effort using tabular transformer-based language models of electronic health record-based audit log action sequences Seunghwan Kim, Benjamin C Warner, Daphne Lew, Sunny S Lou, Thomas Kannampallil Journal of the American Medical Informatics Association, 2024 Paper Code
	Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs Benjamin C. Warner, Thomas Kannampallil, Seunghwan Kim ML4H Findings, 2023 Paper Code Hugging Face
	Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection Benjamin C. Warner, Ziqi Xu, Simon Haroutounian, Thomas Kannampallil, Chenyang Lu Preprint, 2023 arXiv Code PyPI (📦)
	HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records Hanyang Liu, Sunny S. Lou, Benjamin C. Warner, Derek R. Harford, Thomas Kannampallil, Chenyang Lu SIGKDD, 2022 Paper
	Effect of clinician attention switching on workload and wrong-patient errors Sunny S. Lou,Seunghwan Kim, Derek Harford, Benjamin C. Warner, Philip R.O. Payne, Joanna Abraham, Thomas Kannampallil British Journal of Anaesthesia, 2022 Paper
	Post-acute sensory neurological sequelae in patients with SARS-CoV-2 infection: the COVID-PN observational cohort study Chioma Odozor, Thomas Kannampallil, Arbia Ben Abdallah, Kristen Roles, Carrie Burk, Benjamin C. Warner, Harutyun Alaverdyan, David B. Clifford, Jay Piccirillo, Simon Haroutounian Pain, 2022 Paper
	Predicting physician burnout using clinical activity logs: Model performance and lessons learned Sunny S. Lou, Hanyang Liu, Benjamin C. Warner, Derek Harford, Chenyang Lu, Thomas Kannampallil Journal of Biomedical Informatics, 2022 Paper
	Predicting physician burnout using clinical activity logs: Model performance and lessons learned Benjamin Warner Journal of Undergraduate Reports in Physics, 2021 Paper Code PyPI (📦)
	Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT Benjamin Warner, Aaron Crook, and Renzhi Cao International Conference on Big Data, 2020 Paper Code

Design and source code adapted from here. Last updated on 2025-01-15.

Ben Warner

Research

Measuring cognitive effort using tabular transformer-based language models of electronic health record-based audit log action sequences

Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs

Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection

HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records

Effect of clinician attention switching on workload and wrong-patient errors

Post-acute sensory neurological sequelae in patients with SARS-CoV-2 infection: the COVID-PN observational cohort study

Predicting physician burnout using clinical activity logs: Model performance and lessons learned

Predicting physician burnout using clinical activity logs: Model performance and lessons learned

Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT