PhD Student Department of Statistics and Applied Probability University of California at Santa Barbara
Hello! I am currently a PhD Student in the the Department of Statistics and Applied Probability
at the University of California, Santa Barbara, having first joined the department in Fall 2020.
Prior to that, I completed my Undergraduate Degree at the University of California,
Berkeley (also in Statistics; Class of 2020). Aside from academics, my interests include playing the piano,
drinking boba, and talking about cats!
All Models are Wrong: Concepts of Statistical Learning (CSL), by Sanchez, G. and Marzban, E.
While at UC Berkeley, I had the pleasure of working with Dr. Gaston Sanchez to co-author an
electronic Machine Learning textbook, modeled after class notes from Stat 154 (the designated
Machine Learning class in the Statistics Department at UC Berkeley). The textbook is freely
available for use, and is updated/revised from time to time.
I am currently serving as an Officer on the Graduate
Student Committee, a part of the Department of Probability and Applied Statistics (PSTAT)
at the University of California, Santa Barbara.
I was fortunate enough to serve as a founding member of (and also Secretary for) the Statistics Undergraduate Student Association
(SUSA) at UC Berkeley, which is the officially supported student association of the Statistics Department at UC Berkeley. Additionally,
I wrote a handful of exam review sheets, which can be found on the official SUSA website.
Music 198: Chamber Music For Fun [UCB]
Facilitator/Instructor
From August 2018 until my graduaton in May 2020, I served as one of three "facilitators" (akin to instructors) for Music 198, which is a one-unit class
(taken for a P/NP grade) in which students of any level of musical experience can come together and engage collaboratively in Chamber Music.
Duties as a facilitator included judging auditions, organizing the final recitals, and other administrative work.
List of Mathematical Formulas
This is a short compilation of mathematical tools and formulas that
might prove useful for Statisticians (though many of the formulas are
useful in plenty of other STEM-related fields!)
LaTeX
LaTeX is a typesetting language which provides a clean and efficient
way to integrate mathematical equations and text. If you're planning
on pursuing any STEM-related field, I highly recommend learning the
basics of LaTeX!
When first learning LaTeX, I used Overleaf (it was called ShareLatex
back then); in addition to providing resources for actually learning
the language, they also host an online LaTeX editor so that you do
not have to download one onto your computer.
In case you're curious, I personally use TeXShop to typset most of my
LaTeX Documents. It's free to download, and has a pretty good interface.
