Runner, CS PhD Student, and baseball nerd - but not necessarily in that order. Multiplication need not apply.
I am interested in neural networks, statistics, and robotics. I like using R and Python for statistical analysis and Java for software engineering.
I am currently a 1st year PhD Student at UCSC, studying computer science. Outside of school, I run cross country and track & field and watch Dodger baseball.
Feel free to checkout my resume and my transcript.
My first PhD paper!
In this project, I dabble with R and the Lahman package to illustrate a pitcher’s performance compared to the rest of MLB.
Fall 2020
Description: After taking computational statistics, I wanted to apply the newly learned techniques on my Data Science Research Circle Project.
Spring/Summer 2020
Description: Analyzed police stops in multiple U.S. cities in collaboration with Emma Godfrey (‘21), Will Gray (‘22), Amber Lee (‘22), Ethan Ong (‘21), Arm Wonghirundacha, and Ivy Yuan (‘21).
Summer 2019
Description: Ran a behavioral project on mouse. Stimulating a certain neuron in the mouse’s brain activates object craving behavior. We wanted to see if a mouse will display this craving head-fixed on a track ball.
In an effort to track my software engineering skill level, I will posts my solutions to problems from Cracking the Coding Interview. The code I will post is code written in a text editor before checking if it runs correctly. This enforces that I thoroughly think about the problem and that data strcutures or algorithms I should utilize. Below each post is the solution from the textbook and a brief description of what I should have done. This page will be updated frequently, as I reattempt problems and add new problems from the book.
Santa Cruz, CA
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