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101 Dudley StWomen & Infants HospitalProvidence, RI 02905
Phone+1 401-274-1122
Fax+1 401-453-7533
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Summary
- Dr. Sung-Hee Lee is an anesthesiologist based in Providence, RI, specializing in obstetrical anesthesiology. She completed her medical degree at Washington University in St. Louis School of Medicine in 1992 and pursued an internship in internal medicine at Yale-New Haven Medical Center from 1992 to 1993. Dr. Lee further specialized in anesthesiology through her residency at New York Presbyterian Hospital (Cornell Campus) from 1993 to 1996. She completed a fellowship in Obstetric Anesthesia at Thomas Jefferson University Medical Center from 1996 to 1997.
Education & Training
New York Presbyterian Hospital (Cornell Campus)Residency, Anesthesiology, 1993 - 1996
Yale-New Haven Medical CenterInternship, Internal Medicine, 1992 - 1993
Washington University in St. Louis School of MedicineClass of 1992
Certifications & Licensure
RI State Medical License 2000 - 2026
NY State Medical License 1996 - 2001
PA State Medical License 1996 - 1997
American Board of Anesthesiology Anesthesiology
Grant Support
- Improving Inclusivity of Alzheimer’s Disease and Related Dementias Research for Asian Americans and Latinx through Nationally Representative Hybrid Sampling.UNIVERSITY OF MICHIGAN AT ANN ARBOR2024–2028
- Improving Inclusivity of Alzheimer’s Disease and Related Dementias Research for Asian Americans and Latinx through Nationally Representative Hybrid Sampling.UNIVERSITY OF MICHIGAN AT ANN ARBOR2024–2028
- Network for Advancing Methodological Research in Longitudinal Studies of AgingUNIVERSITY OF MICHIGAN AT ANN ARBOR2022–2027
- Network for Advancing Methodological Research in Longitudinal Studies of AgingUNIVERSITY OF MICHIGAN AT ANN ARBOR2022–2027
- Network for Advancing Methodological Research in Longitudinal Studies of AgingUNIVERSITY OF MICHIGAN AT ANN ARBOR2022–2027
- Network for Advancing Methodological Research in Longitudinal Studies of AgingUNIVERSITY OF MICHIGAN AT ANN ARBOR2022–2027
- Improving Reproducibility of Respondent Driven Sampling through Adaptive DesignUNIVERSITY OF MICHIGAN AT ANN ARBOR2019–2024
- Improving Reproducibility of Respondent Driven Sampling through Adaptive DesignUNIVERSITY OF MICHIGAN AT ANN ARBOR2019–2024
- Improving Reproducibility of Respondent Driven Sampling through Adaptive DesignUNIVERSITY OF MICHIGAN AT ANN ARBOR2019–2024
- Improving Reproducibility of Respondent Driven Sampling through Adaptive DesignUNIVERSITY OF MICHIGAN AT ANN ARBOR2019–2024
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