I am a PhD student at New York University studying computer science, focusing on machine learning for natural language. I am jointly advised by Professors Sam Bowman and Kyunghyun Cho, and am part of the Machine Learning for Language group at NYU. I graduated from Harvard University with a bachelor’s in applied mathematics and a master’s in computer science, where I was advised by Alexander Rush and spent time with the Harvard Natural Language Processing group. See my CV, Google Scholar, GitHub for more details.
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman.
Learning Linguistic Descriptors of User Roles in Online Communities
Alex Wang, William L. Hamilton, Jure Leskovec.
- A Neural Framework for One-Shot Learning: thorough examination in the use of matching networks, a neural network and nonparametric model hybrid, for one-shot learning in various settings. See paper for more details. Completed for my senior thesis, earning high honors.
- Traffic Swarm Optimization: investigation in the use of swarm optimization methods for optimizing traffic light cycles. For more info see this article or this writeup.
- Gaussian Processes for Crime Prediction: an exploration into the use of Gaussian processes to predict future crime rates in cities. See the writeup for details.
- Twitter Plays Chess: crowdsourced chess playing against an AI where users vote for the human team’s next move via Twitter, à la Twitch Plays Pokemon.