Leo Liu

Dr. Leo Liu is an Associate Professor at the University of California, San Francisco (UCSF) School of Medicine, with multiple leadership roles in clinical informatics and data science. He serves as Physician Lead for Inpatient Informatics at St Marys and St Francis Hospitals (UCSF Health), Director of Clinical Informatics at St Mary's Medical Center, Associate Program Director of the Clinical Informatics Fellowship, and Director of the GME Clinical Informatics Data Science & AI Pathway.

• BA (2008) in Chemistry & Chemical Biology, Cornell University
• MD (2013) from Dartmouth Medical School
• Residency in Internal Medicine (2016) at University of Washington
• Fellowship in Clinical Informatics (2018) at University of Washington
• Completed UCSF Diversity, Equity, and Inclusion Champion Training (2019)

His research focuses on applying machine learning to healthcare through electronic health records (EHR), with particular interests in:

• Machine learning for clinical pathway design
• Health information interoperability
• Predictive modeling for hospital readmissions
• Clinical AI implementation
• Secure healthcare communication systems
• Lean methodology in neonatal care

Recent publications demonstrate expertise in:

• 2023: Interpretable machine learning for readmission prediction
• 2022: WHO Clinical Progression Scale database development for COVID-19
• 2021: ML-enhanced PICO framework for clinical research
• 2019: Secure messaging evaluation in healthcare
• 2014: Lean methodology for NICU catheter insertion

Awards include the UCSF Diversity, Equity, and Inclusion Champion Training (2019). His technical expertise includes SQL, Spark, Python, Jupyter notebooks, and access to UCSF Clarity, Information Commons, and Cerner data sources.