Dr. Lee is a practicing Primacy Care Physician and Physician Informaticist with a passion for data and advanced analytics. His vision is to see Health IT be the bridge that improves healthcare for our most underserved communities.

His Masters education in community health was focused on health policy and administration with research using EHR data to risk stratify septic patients in a rural community.

During residency in Family Medicine at UC Irvine, he simultaneously served as Chief Resident of Quality Improvement and President of the House Safety Officers, which led to his involvement in an Epic go-live.

During his Fellowship in Clinical Informatics, he learned what it means to work with a multidisciplinary IT team spanning Epic analysts, data engineers/scientists, operational leaders and clinical subject matter experts to develop AI models for operational impact at UCLA health.

Working full time at UCLA led him to the world of MLOps to develop, deploy/integrate, monitor and govern AI models for use in healthcare delivery. 

Currently, Dr. Lee is a physician informaticist at Altamed Health Services where he oversees Epic Data and Reporting services, advanced analytics and the IT enablement of the organizations transition to Value Based Care. 

  • Lee T, Lukac PJ, Vangala S, Kowsari K, Vu V, Fogelman S, Pfeffer MA, Bell DS. Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer. JAMIA Open. 2023 Aug 17;6(3):ooad069. doi: 10.1093/jamiaopen/ooad069. PMID: 37600073; PMCID: PMC10435371.