I am a data scientist mainly working with text and time series data. Feel free to connect with me on LinkedIn.
I regularly mentor capstone projects at the Erdős Institute, a multi-university collaboration focused on helping PhDs transition into industry. I mentored the following (all excellent!) teams:
| Semester | Project | Awards |
|---|---|---|
| Fall 2024 | AP Outcomes to university metrics | Top Project (top 5 finalist)! |
| Summer 2024 | Continuous Glucose Monitoring | First place! |
| MoonBoard Grade Classification | With distinction! | |
| Fall 2023 | Groundwater Forecasting | First place! |
| Will my flight be late? | With distinction! | |
| Spring 2023 | Customizable Song Recommendation | |
| Fall 2022 | Spotify Podcast Recommender | First place! |
| Bike safety in Greater London |
I received my PhD in mathematics from the University of Arizona, under the supervision of Ibrahim Fatkullin. I have a BSc double-degree from Texas A&M University in math and physics. I was a postdoc in the math departments of the University of Edinburgh (UK) and University of New Mexico working in applied probability and statistics.
I’ve taught many classes: Scientific Computing & Numerical Analysis, Applied Linear Algebra, Vector Analysis, Mathematics of the Climate (co-taught), Probability & Statistics, the calculus sequence, and probably some other ones. I was awarded a departmental teaching award from UNM’s Math Department in 2020.
I was previously very involved in STEM outreach and volunteered at the UA Match Circle, UE Match Circle, and was the co-Director of the UNM-PNM Statewide Mathematics Contest.
Everyone has a photo of themselves on their website, so here’s mine: