Prior to entering university, I grew up in Piedmont, CA, a mile-wide city across the bay from San Francisco. There I attended Piedmont public schools for grades K–12.
I was raised primarily by a health and public policy professor and a civically-engaged attorney, bestowing upon me an early penchant for politics. Indeed many of the projects I’ve worked on over the years and all of the internships I’ve completed have been either directly or indirectly motivated by socio-political problems.
As a precocious teenager who was full of ideas and hungry to learn, I found myself facing a significant hurdle. Because of my young age, I did not have the credibility I needed to work on big ideas and access the experiences I wanted. I landed on software development as the most accessible medium for me to build things that solve problems (political and otherwise). By collaborating over the internet, I eliminated all age barriers that stood in my way. After all, on the internet, nobody knows you’re a dog.
Throughout high school, I spent much of my free time teaching myself how to write software. I went to dozens of hackathons, collaborated with developers and designers from around the world on projects we dreamed up, and segfaulted my way into some moderate level of understanding. Most importantly, I gained the ability to take the ideas in my head and cobble together a functional problem-solving product. I was hooked.
Starting my Sophomore year in high school, I sought out internship opportunities to learn more about building software on teams, managing products, and running companies. I was fortunate to learn from the great teams at Uber and Change.org while interning in high school. I went on to learn from the founders at Midnight Labs, the fellows at The Harvard Kennedy School, the journalists at FiveThirtyEight, and the product team at Oscar while working at each between university terms.
I recently graduated from the University of Washington, where I majored in Computer Science with a concentration in Data Science. I was drawn to study at the University of Washington largely because of its great computer science and statistics programs. College afforded me the opportunity to formally study what had only been a nascent hobby before, computer science, and turned me on to discrete mathematics and related philosophy, which I grew to love. That said, perhaps the most rewarding education I recieved at the UW was in Professor Jeffrey Heer’s Interactive Data Lab (formerly the Stanford Vis Lab). Between my Sophomore and my Senior years of college, I worked in the IDL as an undergraduate research assistant and helped to build the next generation of data visualization tools.
In the fall of 2018, I’ll be joining Twitter to work as an Associate Product Manager.