About
I'm a professional teacher, data scientist, and researcher.
Currently, I'm pursuing a PhD in Statistics at UCLA, building on a foundation that includes a Bachelor’s in Pure Mathematics and a Master’s in Teaching. Before my doctoral studies, I spent five years in the classroom teaching high school math and physics—an experience that taught me how to translate complex quantitative ideas into clear, actionable lessons.
As a teacher, I’m passionate about mentoring undergraduates and helping them develop both conceptual understanding and practical problem‐solving skills. Whether I’m guiding students through proof techniques or demonstrating real‑world applications of statistics, my goal is always to foster curiosity and confidence.
As a data scientist, I'm eager to analyze data to expose patterns and unearth trends that are novel, rigorous, and helpful.
I will upload more projects as I develop statistical acuity and discover intriguing insights into our shared community.
As a researcher, my primary interest lies in time‑series analysis and point processes. I’m currently developing statistical frameworks that can be applied to infectious disease modeling, with the aim of informing policy and improving real‑world decision‑making.
If you have a project idea or challenge you’d like me to tackle,
I’d love to hear from you—please feel welcome and encouraged to reach out using the contact information below.