Leo Liu, MD

Associate Professor

Informatician, Machine Learning Scientist, and practicing hospitalist with experience developing and applying machine learning algorithms to healthcare, designing clinical pathways, and designing or evaluating new technologies for clinical practice.

Current roles include:
Medical Director for Informatics, Stanyan and Hyde Hospitals, UCSF Health
Associate Program Director, Clinical Informatics Fellowship
Director, GME Clinical Informatics, Data Science and Artificial Intelligence Pathway
Co-director, Introduction to Clinical Artificial Intelligence, TICR program

Has access to UCSF Clarity, UCSF Information Commons
Experienced in SQL, spark, Python, Jupyter notebooks
Education
2019 - Diversity, Equity, and Inclusion Champion Training, University of California
Fellowship, MS, 06/2018 - Clinical Informatics, University of Washington
Residency, 06/2016 - Internal Medicine, University of Washington
MD, 06/2013 - Medicine, Dartmouth Medical School
BA, 07/2008 - Chemistry and Chemical Biology, Cornell University
Publications

  1. De-la-Rosa-Martinez D, Porco TC, Hazel A, Liu X, Khader K, Blumberg S. Clostridioides difficile colonization amplification despite limited in-hospital transmission: A modeling study. PLoS medicine 2026. PMID: 41973729


  2. Liu X, Auerbach AD. A new ballgame: Sabercaremetrics and the future of clinical performance measurement. Journal of hospital medicine 2024. PMID: 39344172


  3. Ramaswamy P, Gong JJ, Saleh SN, McDonald SA, Blumberg S, Medford RJ, Liu X. Developing a COVID-19 WHO Clinical Progression Scale Inpatient Database from Electronic Health Record Data. "Are Telehealth Visits Feasible for Vulnerable Patients?" 2022. PMID: 35289912


  4. Kamran F, Tang S, Otles E, McEvoy DS, Saleh SN, Gong J, Li BY, Dutta S, Liu X, Medford RJ, Valley TS, West LR, Singh K, Blumberg S, Donnelly JP, Shenoy ES, Ayanian JZ, Nallamothu BK, Sjoding MW, Wiens J. Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study. "Are Telehealth Visits Feasible for Vulnerable Patients?" 2022. PMID: 35177406


  5. Liu X, Anstey J, Li R, Sarabu C, Sono R, Butte AJ. Rethinking PICO in the Machine Learning Era: ML-PICO. Applied clinical informatics 2021. PMID: 34010977


  6. Liu X, Sutton PR, McKenna R, Sinanan MN, Fellner BJ, Leu MG, Ewell C. Evaluation of Secure Messaging Applications for a Health Care System: A Case Study. Applied clinical informatics 2019. PMID: 30812040


  7. Liu X, Suresh G. Central vascular catheter insertion in the NICU: a Lean approach. Neonatal network : NN 2014. PMID: 24985110