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Amy Yeung
Amy Yeung
Research Data Analyst
Summary Statement

Amy Yeung provides research support to CHCPR across diverse health domains, and specializes in data analysis, programming, project management, and other aspects of the academic research process.

  • Center for Health Care and Policy Research - CHCPR
  • Columbia University Mailman School of Public Health New York, NY
  • The University of Hong Kong Pokfulam, Hong Kong
  • University of California at Berkeley Berkeley, CA
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Office Address
Professional Credentials

Master of Public Health in Epidemiology

Bachelor of Biomedical Sciences



· Oversee and manage multiple ongoing projects including developing project plans, scheduling, monitoring, and reporting of project initiatives and deliverables to study teams, PIs, and funders

· Maintain relevant compliance documentation required by the university and funders

· Develop and maintain IRB protocols, supporting documents, statements of work, standard operating procedures, and research plans for studies

· Develop and implement processes that align with project goals in consultation with faculty-level investigators

· Communicate regularly with team members, sponsors, and external research partners about action items and emergent issues

· Work collaboratively with multiple stakeholders in a team-based environment

· Advise investigators on appropriate methodologies and resources to implement and maintain projects

· Manage multiple full-time and part-time research staff and conduct performance reviews

· Consult with Center Director and Financial Manager on resource allocation across projects

· Collaborate on grant proposals, manuscripts, reports, presentations, and other deliverables

· Help with the design and execution of qualitative data collection and analysis plans that integrate with mixed methods research designs

· Assist senior researchers in collection, assessing, and analyzing qualitative data using software packages for qualitative data analysis, such as Dedoose

· Assist senior researchers in collecting and analyzing data sets and secondary data sets using various statistical packages and data collection platforms, such as Stata, SAS, Qualtrics, and REDCap

· Read and interpret findings, address gaps, and draw conclusions in analysis

· Design, implement, and coordinate data analysis activities and related process improvements to those activities