Ben Warner

b.c.warner [at] wustl.edu

I'm a first year PhD student at Washington University in St. Louis studying Computer Science.

I have an BS/MS in Computer Engineering from Washington University, and during that time I worked on several machine learning for health projects under the supervision of Chenyang Lu and Thomas Kannampallil, including my master's thesis. I also have a BA in Computer Science from Pacific Lutheran University.

CV / Google Scholar / GitHub / LinkedIn / Twitter

Research

I'm interested in developing new machine learning tools for medicine and healthcare. Most of my past work has involved tabular and natural language data.

	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.

Ben Warner

Research

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