About

Short bio

I am a Postdoctoral Associate in the Center for Methods in Implementation and Prevention Science (CMIPS) and the Department of Biostatistics at the Yale School of Public Health, supervised by Prof. Donna Spiegelman. My research develops statistical methods for complex data settings involving measurement error, missing data, and high-dimensional analysis, with a growing focus on adaptive study designs for multi-component interventions across diverse clinical trial settings.

Current position

Postdoctoral Associate, Yale School of Public Health — Feb 2024–present
Supervisor: Prof. Donna Spiegelman

Current work

Working on the NIH-funded grant “Learn-As-you-Go (LAGO): An Innovative Adaptive Design for Multi-Component Intervention Studies in Cardiology and Public Health,” led by Principal Investigator Prof. Donna Spiegelman.
- Collaborating with the Uganda team to analyze PULESA data from a stepped-wedge cluster randomized trial (SW-CRT) evaluating implementation strategies to integrate hypertension care into HIV clinics in Kampala and Wakiso District.
- Collaborating with the Nigeria team to analyze MAP-IT data from an SW-CRT evaluating a pragmatic implementation strategy for hypertension–HIV integration.
- Drafting a methodological paper on applying LAGO to stepped-wedge trials with center-level random effects: Analysis of “Learn-As-you-Go” (LAGO) in Stepped-Wedge Designs with Center Random Effects.
Working on the NIH-funded grant “New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology,” led by Prof. Molin Wang and Prof. Donna Spiegelman.
- Dissemination: developing and delivering short courses and workshops to disseminate the proposed methods; proposals have been accepted by ENAR and SER.
Working on a project in meta-analysis focused on integrating direct-effect measures to estimate total effects.
Preparing a K-award application focused on adaptive design and AI-powered tools for cardiovascular disease research.

Education

Ph.D. in Statistics, Western University — Sep 2019–Feb 2024
Thesis: Multivariate Regression Analysis for Data with Measurement Error, Missing Values, and/or Sparsity Structures
Supervisors: Prof. Grace Y. Yi and Prof. Jörn Diedrichsen
M.Sc. in Statistics, University of New Brunswick — Jan 2017–Aug 2019
Thesis: Tweedie Generalized Linear Models with Crossed Random Effects
Supervisors: Prof. Renjun Ma and Prof. Hasan, M. Tariqul

Research areas

My research areas include, but are not limited to

Measurement Error; Missing Values; Variable Selection; High-Dimensional Analysis; Adaptive Study Design; Meta-Analysis; Mediation-Analysis; Machine Learning

Selected service