Academic

Research

I love working on statistical problems that have direct links to applied problems. In my dissertation work, I work on methods in Small Area Estimation that are relied upon to allocate billions of dollars for the largest government programs in the US.

Some of my interests include:

  • Bayesian Methods
  • Small Area Estimation
  • Areal/Spatial Data Modeling
  • Using Machine Learning Techniques to Improve Statistical Models

I am co-advised by Zehang Li and Paul Parker.

Update:

  • Recently completed a project that is the first chapter of my dissertation.
  • Excited to be presenting this paper at JSM in Portland.
    • Session Name: Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures
    • August 4th, 2024 at 4:00pm-5:50pm.

Teaching

Stat 5 Curriculum Re-Development

I’m currently working with Professor Marcela Alfaro Córdoba on redeveloping the curriculum for one of the intro-statistics class at UC Santa Cruz (Stat 5). I’m excited about this work, especially since Stat 5 is a class over 1200 students take every year!

Classes Taught at UCSC

Teaching is arguably the most impactful part of my graduate training. I have especially enjoyed teaching introductory statistics.

The following are the classes I have served as a teaching assistant for. If you’re a TA and would like access to any of my slides or materials, please contact me.

Stat 5, Introductory Statistics

Stat 7, Statistical Methods for Biological, Environmental, & Health Sciences

Stat 131, Introductory Probability

  • Winter 2023 with Prof. Alfaro-Córdoba (No Section-Specific Page)
  • Summer 2023 with Prof. David Draper (No Section-Specific Page)

Updated: April 2024