Siru Liu

Siru Liu

Assistant Professor, Department of Biomedical Informatics, Vanderbilt University Medical Center

I am Assistant Professor of Biomedical Informatics at Vanderbilt University Medical Center and Assistant Professor of Computer Science at Vanderbilt University School of Engineering. I am interested in optimizing electronic health record features and functions, with an emphasis on clinical decision support, leveraging machine learning and large language models to improve healthcare quality, and analyzing public perceptions using social and behavioral science. My research goal is to leverage innovative AI methods to improve healthcare quality and reduce health disparities.

Looking for students, postdocs, and RAs passionate about clinical decision support, large language models, and machine learning.

Education

  • Ph.D., Biomedical Informatics, University of Utah School of Medicine, 2017.8 - 2021.1
  • B.S., Computer Science and Mathematics, Magna Cum Laude with Honors, University of Arizona, 2015.1 - 2017.5

Selected Awards/Honors

  • Postdoc of the Year Award, Vanderbilt University and Vanderbilt University Medical Center, 2023
  • NIH NLM K99/R00 Pathway to Independence Award, 2022
  • American Association of University Women International Fellow, 2022
  • Google Cloud Research Innovator, 2022
  • National Cancer Institute’s Multilevel Intervention Training Institute Fellow, 2022
  • American Medical Informatics Association (AMIA) Artificial Intelligence Evaluation Showcase Finalist, 2022
  • American Thoracic Society (ATS) Student Scholar Program, 2022
  • Women in AMIA (WIA) Leadership Program, 2021
  • AMIA Leadership and Education Award Donation (LEAD) Trainee Meeting Scholarship, 2021
  • John D. Morgan Ph.D. Award, University of Utah, 2020
  • IEEE International Conference on Healthcare Informatics Doctoral Consortium Fellow, 2020
  • Helmuth F. Orthner Travel Assistance Scholarships, University of Utah, 2018

News

  • [Aug, 2023]. Our project Optimizing Clinical Decision Support Alerts Using Explainable Artificial Intelligence was selected into NLM Funding Spotlight!
  • [Aug, 2023]. Our study Leveraging Natural Language Processing to Identify Eligible Lung Cancer Screening Patients with the Electronic Health Record was featured in Healthcare AI News 8/16/23!
  • [July, 2023]. Our new preprint Leveraging Large Language Models for Generating Responses to Patient Messages is out! Leveraging large language models to generate responses to patient messages demonstrates significant potential in facilitating communication between patients and primary care providers.
  • [July, 2023]. Our study Assessing the Value of ChatGPT for Clinical Decision Support Optimization was accepted as a podium abstract at AMIA 2023 Annual Symposium!
  • [June, 2023]. Our new paper Leveraging Natural Language Processing to Identify Eligible Lung Cancer Screening Patients with the Electronic Health Record was published at International Journal of Medical Informatics!
  • [June, 2023]. Dr. Liu was featured in July 2023 Newsletter at Vanderbilt University.
  • [May, 2023]. Dr. Liu received Postdoc of the Year award (select 1 postdoc at Vanderbilt University and Vanderbilt University Medical Center based on research excellence, scholarship, creative expression, service, and mentoring)!
  • [May, 2023]. Dr. Liu was invited to present our recent paper Using AI-generated suggestions from ChatGPT to optimize clinical decision support at the JAMIA journal club!
  • [April, 2023]. Our new paper Using AI-generated suggestions from ChatGPT to optimize clinical decision support was published in JAMIA! News in Becker's Health IT; VUMC Reporter
  • [April, 2023]. Dr. Liu was invited to talk about research opportunities in clinical informatics with large language models(LLMs) and ChatGPT at the Research Colloquium in the Department of Biomedical Informatics at VUMC!
  • [March, 2023]. Dr. Liu was invited to give a lecture about explainable AI (xAI) related to CDS to the MS in Applied Clinical Informatics (MSACI) program at VUMC!
  • [Feb, 2023]. Our new preprint is out! ChatGPT showed promising results for clinical decision support optimization. AI-generated suggestions were highly relevant and offered unique perspectives compared to human-generated suggestions!
  • [Jan, 2023]. Dr. Liu was invited to join the Scientific Program Committee (SPC) for the AMIA 2023 Annual Symposium!
  • [Jan, 2023]. Our paper was featured in VUMC Reporter!
  • [Jan, 2023]. Dr. Liu was invited to give a talk in the CDSChat (AMIA Clinical Decision Support Working Group)!
  • [December, 2022]. Dr. Liu presented Delirium Prediction using Long Short-Term Memory (LSTM) in the Electronic Health Record at NeurIPS in New Orleans!
  • [November, 2022]. Dr. Liu was invited to be a member of the Scientific Program Committee (SPC) for the 2023 AMIA AI Evaluation Showcase.
  • [November, 2022]. Dr. Liu received Travel Funding from WiML @NeurIPS.
  • [November, 2022]. Our paper New Onset Delirium Prediction using Machine Learning and Long Short-term Memory (LSTM) in Electronic Health Record was selected as one of the top papers of the week by leading researchers in the field.
  • [November, 2022]. Our paper Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis was featured as the scientific article of the month by COMPAR-EU.
  • [October, 2022]. Our paper New Onset Delirium Prediction using Machine Learning and Long Short-term Memory (LSTM) in Electronic Health Record was published in JAMIA.
  • [September, 2022]. Our poster Delirium Prediction using Long Short-Term Memory (LSTM) in the Electronic Health Record was accepted in Women in Machine Learning (WiML) Workshop @NeurIPS 2022.
  • [August, 2022]. Our poster A Theory-based Evaluation of a Clinical Decision Support System to Predict New Onset of Delirium was accetpted in the Stage III - Health Impact Studies in AMIA 2022 Artificial Intelligence Evaluation Showcase!
  • [August, 2022]. Dr. Liu was invited to be an Area Chair for the Women in Machine Learning (WiML) Workshop @NeurIPS 2022.
  • [August, 2022]. Dr. Liu received an NIH NLM K99/R00 Pathway to Independence Award!!! She will continue her research in optimizing clinical decision support alerts using explainable artificial intelligence (XAI).
  • [July, 2022]. Dr. Liu presented in the Center for Precision Medicine at Vanderbilt University!
  • [June, 2022]. Our poster is accepted in AMIA 2022 Annual Symposium!
  • [June, 2022]. Dr. Liu graduated from NCI Multilevel Intervention Training Institute (MLTI)!
  • [June, 2022]. Our paper is published in JAMIA!
  • [May, 2022]. Dr. Liu presented at the AMIA Clinical Informatics Conference in Houston, TX!
  • [May, 2022]. Dr. Liu successfully completed the Women in AMIA Leadership Program in Midway, UT!
  • [May, 2022]. Dr. Liu was invited to give a talk in the AMIA Clinical Informatics Systems Working Group!
  • [May, 2022]. Our paper was featured by Agency for Healthcare Research and Quality (AHRQ)!

Service and Committees

  • Scientific Program Committee member, AMIA Annual Symposium, 2023
  • Scientific Program Committee member, AMIA AI Evaluation Showcase, 2023
  • Area Chair, Women in Machine Learning (WiML) Workshop, NeurIPS, 2022
  • Senior Program Committee member, IEEE International Conference on Healthcare Informatics (ICHI), 2022
  • Program Committee member, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022, 2021
  • Committee member, Women in AMIA (Awards and Leadership, Pathways), 2022
  • Committee member, Diversity Equity and Inclusion, AMIA, 2022
  • Committee member, Diversity Equity and Inclusion, Department of Biomedical Informatics, Vanderbilt University Medical Center, 2021, 2022

Invited Talks

  • American Medical Informatics Association, Clinical Informatics Systems Working Group, CDS Chats. “New Onset Delirium Prediction using Machine Learning and Long Short-term Memory (LSTM) in Electronic Health Record.” (April 5, 2023).
  • American Medical Informatics Association, Clinical Informatics Systems Working Group, CDS Chats. (June 6, 2022). “Machine Learning Applications and Sociotechnical Considerations in Clinical Information Systems.”
  • American Medical Informatics Association, Clinical Decision Support Working Group, CDS Chats. (May 4, 2022). “The Potential for Leveraging Machine Learning to Filter Medication Alerts.”