Harvard Catalyst Profiles

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Chi-Fu Jeffrey Yang, M.D.

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Biography
education and training
Harvard CollegeA.B.05/2005Biochemistry
Fulbright Fellowship07/2006Psychology/Epidemiology
HHMI Research Training Fellowship06/2010Pediatric Surgery/Nutrition
Harvard Medical SchoolM.D.05/2011Medicine
Duke Hospital07/2018General Surgery Residency
Stanford Hospital07/2020Cardiothoracic Surgery Fellowship
awards and honors
2024
Harvard Medical School Equity, Social Justice and Advocacy Award
2024
IASLC Clifton F. Mountain Lectureship Award
2024
Upstage Lung Cancer Fan Award
2024
Boston Bruins Community All Star
2021
Harvard Medical School Charles McCabe Faculty Prize for Excellence in Teaching
2021
AATS Foundation Surgical Investigator Award
2021
Harvard Medical School Dean's Community Service Faculty Award
2021
AATS Leadership Academy
2019
Norman Shumway Best Presentation Award
2019
TSRA/STS Traveling Fellowship
2019
SAAS Resident Development Scholarship Award
2019
AATS Foundation Surgical Robotics Fellowship
2019
Society of Thoracic Surgeons Scholarship
2018
Duke Surgery Publication Award
2018
Appleseed Resident Teaching Award
2018
Gold Star for Exceptional Patient Care
2017
Gold Star for Exceptional Patient Care
2017
Duke Surgery Publication Award
2017
AATS 1st Place Moderated Poster Competition
2016
Duke Surgery Publication Award
2016
ASCO Merit Award
2015
AATS 1st Place Moderated Poster Competition
2015
SAAS Research Award
2014
AATS Member for a Day Scholarship
2013
Jackson Laboratory Experimental Methods of Human Cancer Scholarship

Overview

Research
research activities and funding
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
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  1. R18HS029430 (YANG, CHI-FU) Aug 1, 2023 - Jul 31, 2026
    NIH
    Evaluating the Feasibility of Lung Cancer Screening in High-Risk Black Women
    Role: Principal Investigator
  2. 1R01HL159170-01A1 (Yang) Jul 1, 2022 - Jun 30, 2027
    NIH
    Using Wearable Technology to Assess Recovery and Detect Post-Operative Complications Following Cardiothoracic Surgery
    Role Description: The goal of this research is to use machine learning analysis of high-resolution physiologic data—collected by wearable technology—to detect postoperative complications at their earliest, subclinical stage, prior to symptom onset and predict the quality of a patient’s postoperative recovery.
    Role: Co-Principal Investigator (Project Leader)

Featured Content
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Bibliographic
selected publications
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Yang's Networks
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Concepts (304)
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© 2024 President and Fellows of Harvard College
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.