Academic
Table of contents:
If I were advising a young person today… I would say “Take statistics, but remember that the great adventure of statistics is in gathering and using data to solve interesting an important real world problems”. - Leo Breiman1
Research
I am broadly interested in developing statistical tools for applications relevant to public policy and public health. More specifically I’m interested in:
- Official Statistics
- Small Area Estimation
- Disease Mapping
- Areal Data Modeling
- Markov Random Field Models
- Bayesian Methods
I am co-advised by Zehang Li and Paul Parker.
Update:
- Recently completed a project that is the first chapter of my dissertation.
- Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
- Access the ArXiv preprint here.
- 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-CĂłrdoba (No Section-Specific Page)
- Summer 2023 with Prof. David Draper (No Section-Specific Page)
Updated: April 2024
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Check out Leo Breiman’s Interview. ↩