Bio
At QSU, I have been working as the programmatic lead of the ‘learning health systems’ program and the statistical lead for a variety of clinical research studies across Stanford campus. In the past few years, I have been actively collaborating with clinical researchers, local public health agencies, and researchers in the industry to deliver best statistical practices that facilitates the integration of knowledge from real-word data in clinical and public health researches. My specialty includes designing, implementing and disseminating clinical researches using real-world evidence. Specifically, I’ve been working extensively with a variety of sources of real-world databases, such as Electronic Health Records (EHRs), claims data and registry databases, to address the cutting-edge research questions for health policy, hospital quality improvement and public health.
In the meantime, I've been actively collaborating with clinical researchers from a variety of clinical domains on randomized clinical trials (RCTs) and pragmatic trials including stepped-wedge trials. My scope of work for clinical trials includes implementing study design (estimating operation characteristics such as sample size through simulations), data management plan, statistical analysis plan, and facilitating the submissions of regulatory statistical documents to government agencies.
My specific statistical interest includes quasi-experimental design (e.g. difference-in-difference, interrupted time series), multi-level modeling, missing data techniques and causal inference, whereas I have been leading a couple of statistical method manuscripts. For mentorship experience, I supervise junior statisticians as well as serve as a KL2 method research mentor for the junior clinical researchers within Stanford. I’m one of the primary lecturers on the statistical method seminar series for clinical researchers, co-lead one of the workshops for women in data science conference 2021, and speak at statistical conferences such as Joint Statistical Meetings and Current Statistical Practice 2023.
Current Role at Stanford
Responsibility for Assistant Director, Learning Health Systems Program (LHS):<br/>• Establish and update LHS program resources within QSU<br/>• Host the onboard training program for new QSU hires and training sessions at a regular basis within QSU<br/>• Establish and mentor a core team within QSU for the LHS program<br/>• Guide the process of the projects assignments for quality improvement, pragmatic trials and studies involve real-world evidence generation using electronic health records (EHRs)<br/>• Maintain close relationships with clinical advocators of LHS projects at our collaborating departments under the supports and advocacy of QSU leadership. <br/>• Host an on-board session with department leaders who are interested in the program to communicate our missions of the program.<br/>• Host educational sessions/lectures for clinical investigators across collaborating departments <br/>• Establish close collaborations with a variety of data teams across campus departments under the supports and advocacy of QSU leadership<br/>• Act as the point person for QSU on the LHS Program<br/><br/>Responsibility for Senior Biostatistician:<br/>- Study Design and Study Protocol Development<br/>- Statistical Analysis Plan<br/>- Grant Preparation<br/>- Statistical Methodology Research<br/>- Data Quality Control<br/>- Data Visualization<br/>- Data Cleaning<br/>- Statistical Programming<br/>- Statistical Modeling<br/>- Mentor junior statistician
