I really like building neural nets and optimization models. I love thinking about meaning.

A few questions on my mind - hopefully I’ll update this list as I find answers or better questions.

  • Statistics and probabilities are tools we’ve invented to understand the quantifiable realm - what tools should we use to understand the unquantifiable?

  • The fatal hubris for modern technologists is that everything needs to be quantifiable - how can we reliably improve what is fundamentally unquantifiable?

  • idk i too stupid to come up with more questions rn check back later

I graduated in 2020 from LMU with a BS in applied maths and a BA in recording arts (much to my mother's dismay, after rejecting an offer to study math at UCLA, an asian mom’s dream), then in 2022 from UChicago with an MS in data science (much to my mother's pleasure).

I’m currently a data scientist at Tesla based in the SF bay area. In the past, I’ve worked/interned at Amazon in Seattle, BCW Group remotely, Lineverge in Hong Kong, and Taishin Bank in Taiwan. You can find my one and only published paper here, and my recent Scale AI hackathon prize winner here.

These goals I’m currently working on:

    • nothing

    • here

    • yet

    • also

    • nothing

    • here

    • yet

    • See my bullet list of insights here

    • See my book reviews here

An assortment of my favorite things

  • 我台灣家巷子口的蔥油餅（臨沂街 x 忠孝東路二段）

  • Walk and talks in the highly air conditioned network of buildings in Central, HK (nature is nice too)

  • Pizzeria da Vincenzo in Udine, Italy

  • Front Squats

  • Akita Inus

More About Me

I don’t think I’m particularly worth knowing about, but here’s my story if you’re interested.

I was born in Taiwan in 1997 to a single mother and adopted by an American father and Taiwanese mother. I moved to Hong Kong not too long after, where I attended a local school taught in Mandarin until the 5th grade, after which I transferred to an international school for the remainder of my secondary education.

I graduated in 2020 from LMU with a BS in applied maths and a BA in recording arts, then in 2022 from UChicago with an MS in data science.

Professionally, I’m a data scientist (the first and only one on my team!) at Tesla building models to determine what cars to build, where to send them, and who to send them to. Previously, I’ve worked on fulfillment center optimization at Amazon, blockchain forecasting at BCW Group, supply chain process automation at Lineverge, and NLP analytics at Taishin Bank.

I consider myself a late bloomer; I was only able to somewhat “specialize” after previous bouts as a junior national rugby player, semi-pro esports coach, certified personal trainer, music producer, recording engineer, and just often being in an uncertain state and unsure of my future in general.

I founded (and failed) three startups before the age of 20, learning a lot of obvious but valuable lessons with some of my best friends along the way. I also co-founded a semi-successful finance mentorship platform with two other Clowns during a pivotal two years of my life; during its lifetime, we organized over 65 events, produced several 6000+ subscriber publications, had partnerships with top universities, and had a team of over 100 students, all of whom ended up in amazing careers :)

Joining Tesla seems to have been the canonical ending to my academic career, and while I’m happy it’s probably the first time in my life I have no idea where, when, and what I’ll do next. Well, that’s not entirely true; I want to do something meaningful for myself and for others, but I don’t understand meaning yet.

This is a home for my thoughts and a repository for new knowledge I’ve found on this journey of grappling with metaphysical concepts and figuring out how to better interact with the world.