Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et

About me

Hi! I'm a fifth-year Statistics PhD candidate at George Mason University (GMU), advised by Dr. Jonathan Auerbach , Dr. David Kepplinger, and Dr. Abolfazl Safikhani. My research interests include change point detection, network-based time series models, and Bayesian statistics.

Education

• George Mason University
  PhD in Statistical Sciences 2021 - 2026
  
• New York University
  BA in Mathematics 2016 - 2020
  Minor in German cum laude

Experience

• Biomarker Statistician Intern
  Sanofi May - Aug, 2025
  
• Clinical Data Science Intern
  Boehringer Ingelheim May - Aug, 2024
  
• Graduate Teaching & Research Assistant
  George Mason University 2021 - 2025
  

Research Works

• (Under Review) Auerbach, J, Crimmins, T. M., Kepplinger, D., Lin, R., Wolkovich, E. M. A Nonparametric Bayesian Model to Adjust for Monitoring Bias with an Application to Identifying Environments Stressed by Climate Change. [arXiv Link]
  


• (Under Review) Lin, R. and Safikhani, A. Multiple Change Point Detection for Non-Stationary Network Auto-Regressive Models with Node-Level Dynamics.

Award

• First Place: Statistical Significance Poster Competition
  American Statistical Association August 2025
  → Award's page  → GMU news
  
• PhD Student Poster Competition Award
  StatConnect Conference March 2025
  
• Distinguished Service and Leadership Award
  Department of Statistics, George Mason University May 2025