Education/Work Background
Completed undergraduate degree in 2021 from Smith College in Statistical and Data Sciences (essentially, applied statistics) with a minor in Public Policy. Currently a masters student in Computer Science at UMass and hopefully graduating this summer!
On top of school, I work full time as a data scientist at MassMutual, primarily building predictive models in Python, where I’ve been since 2021.
R experience
Used R in a few statistics/data science courses at Smith College so have some familiarity with tidyverse and some basic statistics functions/tests. However, it’s been a few years since I last used it regularly and there are lots of features I haven’t learned yet, both old things that I never learned before as well as new features like across()/quarto documents. I am hoping to both get a refresher on what I’ve forgotten as well as learn about some new functions and features I’ve not seen before. I’ve also primarily been doing machine learning the last few years so I’m excited for more experience with data visualization.
Research interests
- How to do “good” science (reproducible results, open access, etc)
- Algorithmic bias
- Public policy/law around data and responsible technology use
Hometown
Born and Raised in Austin, TX (until college). Just moved to Boston, MA!
Hobbies
- 35mm film photography
- Electric skateboarding
- Video games and board games
- Hiking/camping/outdoor stuff more generally
- Rock climbing
Fun fact
I have many fun facts but one is that I am a former Texas state champion at competitive map reading.
