Hi! I'm Andrew, a student who loves to learn about the world, make things, and go on adventures.
Currently, I'm a fourth-year student at the University of Toronto, studying math+cs, and doing research in reinforcement learning. While you're here, you can take a look at my CV, my Google Scholar profile, or read stories.
I'm always excited to meet new people, so if you want to go hiking together, do a puzzle hunt, play a duet, or sneak into an oceanography conference, send me an email at mass! @hey.com
My primary interests are deep reinforcement learning, complexity theory, and quantum information. However, I am also quite interested in interdisciplinary approaches to neuroscience, drug development, and astronomy.
- [Summer 2020] Taught a week-long class on Deep Learning (email me for the recording, slides, and exercises.)
- [Spring 2019] Taught classes on deep learning and the curse of dimensionality at UCLA Splash!
- [Summer 2018] Co-taught a class on the curse of dimensionality with Michelle Hung at Canada/USA Mathcamp. Course notes!
- [Summer 2018] Taught a three-day class on neural networks for visual recognition, based on Stanford's CS231n
Here are some projects I've done, in no particular order.
Russia: A Nation of Contrasts
A documentary film about the economy of Russia, created with Markus Tuomi.
The first* fully** autonomous*** foosball robot. Created with Markus and Derik of TuomiLabs for LexHack 2016.
Holzer or GPT-3?
Can you tell the work of American neo-conceptual artist Jenny Holzer from fake quotes generated by GPT-3?
I've attended both UCLA and UofT for undergrad. My favorite classes have been the UCLA analysis sequence (2019), Targeted Drug Delivery and Controlled Drug Release (2019), Neural Networks and Deep Learning (2020), Computer Graphics (2021), Neurogenomics (2021), and Quantum Computation (2021).
I am currently in the Toronto area, if you want to meet!
Sign up for my email list and I'll notify you when I make new things! (Usually less than 1 email per month.)