Kayla Schroeder

Ph.D. Candidate
Department of Statistics and Data Science,
Northwestern University

About Me

I am a fifth year PhD candidate in Statistics at Northwestern. My research focuses on causal inference and reliability for natural language processing. More specifically, my work creates a causally sufficient dimension reduction technique for text data and develops reliability metrics for natural language processing methods.

Skills

  • Machine Learning
  • Natural Language Processing
  • Causal Inference
  • Reliability
  • Statistical Modeling and Analysis
  • Data Visualization
  • Experimental Design

Education

  • PhD in Statistics, Expected Spring 2025

    Northwestern University

  • MS in Statistics, September 2022

    Northwestern University

  • BS in Statistics, Minor in Mathematics, June 2020

    University of California, Los Angeles