About Me

I am a fifth year PhD candidate in the Deparment of Statistics at the University of California, Los Angeles where I am advised by Oscar Hernan Madrid Padilla. I am currently working on developing Bayesian and nonparametric methods for change-point detection problems. My research interests include:

• Change-Point Detection
• Bayesian Methods
• High-Dimensional and Nonparametric Statistics
• Social Statistics and Network Problems
• Causal Inference
• Record Linkage

Before starting my PhD, I worked on public policy for the municipal governments of New York and Philadelphia, and interned for the Metropolitan Policy Program at the Brookings Institution. As an analyst in the NYC Mayor’s Office of Management and Budget, I assisted in the early stages of research that went into designing NYC’s congestion pricing policy.

Education

• CPhil, Statistics
  University of California, Los Angeles, 2024
• MS, Economics and Computation
  Duke University, 2020
• BA, Philosophy, Politics, Economics (PPE)
  University of Pennsylvania, 2016