Renjie Wei

Renjie Wei

P.h.D student in Biostatistics

Columbia University Mailman School of Public Health

Biography

Download my resumé .

Interests
  • Dynamic Treatment Regimes
  • Sequential Multiple Assignment Randomized Trials (SMARTs)
  • Causal Inference
  • Graphical Model
Education
  • P.h.D in Biostatistics, Expected Graduation 2027

    Columbia University Mailman School of Public Health

  • Master of Biostatistics, 2023

    Columbia University Mailman School of Public Health

  • Bachelor of Medical Laboratory Technology, 2020

    Peking University Health Science Center

  • Bachelor of Economics, 2020

    Peking University

Skills

R

90%

Statistics

100%

Photography

10%

Experience

 
 
 
 
 
Columbia University
Research Assistant
Columbia University
Jun 2022 – Present New York

Advisor: Prof. Bin Cheng, Prof. Min Qian

Responsibilities include:

  • Developed general study designs of sequential multiple assignment randomized trials (SMARTs)
  • Generalized a gate-keeping test for selecting adaptive interventions (AIs) under general SMARTs
  • Attended ROADMAP working group meetings
 
 
 
 
 
Columbia University, Mailman School of Public Health and Duke-NUS Medical School
Research Assistant
Columbia University, Mailman School of Public Health and Duke-NUS Medical School
May 2024 – Present New York

Advisor: Prof. Min Qian, Prof. Bibhas Chakraborty

Responsibilities include:

  • Develop innovative micro-randomized trial (MRT) design for estimating and powering treatment, preference and selection effects.
  • Develop test statistics to assess the proximal effect of a treatment, the effect of subject selection and preference, and associated sample size formulae.
 
 
 
 
 
Columbia University Irving Medical Center
Research Assistant
Columbia University Irving Medical Center
Sep 2024 – Present New York

Advisor: Prof. Yifei Sun, Dr. Elizabeth Oelsner

Responsibilities include:

  • Estimate the overall mortality rate in the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) cohort.
  • Identify key demographic and clinical risk factors associated with increased mortality risk.
  • Identify the optimal threshold for defining obesity in the NHLBI Pooled Cohorts Study.
 
 
 
 
 
Peking University
Research Assistant
Peking University
Jan 2016 – Dec 2020 Beijing

Advisor: Prof. Bin Cui, Prof. Cunling Yan

Responsibilities include:

  • Collected clinical data from Electronic Medical Record about patient from department of thoracic surgery
  • Cleaned the data, conducted EDA and basic statistical analysis
  • Used Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), Random Forest (RF), etc. to build a diagnosis model for Chinese population
  • Contributed a research review

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