About Me

I am a fourth-year Ph.D. candidate in the Biostatistics Division at Department of Population Health, Vilcek institute of Biomedical Sciences, Grossman School of Medicine, New York University.

I joined Google as a Data Scientist Intern in the summer of 2022. Before joining the Biostatistics Division at NYU Medical School, I obtained my master’s degree in Biostatistics and Data Science from Weill Cornell Graduate School of Biomedical Sciences, Cornell University and bachelor’s degree in International Finance from Capital University of Economics and Business.

I am a alumnus of Open Case Study Project at the Bloomberg School of Public Health of the Johns Hopkins University

Interests
  • High-Dimensional Statistics & Functional Data
  • Semi-Supervised Clustering
  • Metric Learning
  • Fairness Machine Learning
Education
  • Ph.D. in Biostatistics, Present

    New York University

  • M.S. in Biostatistics, 2018

    Cornell University

  • B.A. in International Finance, 2017

    Capital University of Economics and Business

Projects

*
Percentage of Days Covered (PDC) calculation

Percentage of Days Covered (PDC) calculation

An algorithm to calculate medical adherence

Fairness Machine Learning

Fairness Machine Learning

A fairness constraint for machine learning algorithm

Contact