Taylor Shin

Applied Scientist | AI Researcher | Software Engineer
M.S. in Computer Science at UCI
B.S. in Computer Science at UCSD


Currently, I am an Applied Scientist on the Alexa Sensitive Content Intelligence (ASCI) team at Amazon.

I was previously a Master's student at UC Irvine and I studied Computer Science with a specialization in AI & Machine Learning. My M.S. thesis research was in the field of Natural Language Processing and I was advised by Professor Sameer Singh. My interests range from NLP to Deep Learning and Data Mining.

During my senior year at the University of California San Diego, I was part of a research group (advised by Professor Garrison Cottrell) that built DeepJ, a deep neural network that composes polyphonic music.

In between undergrad and grad school, I worked at Blizzard Entertainment as a software engineer on the Overwatch League site.


Taylor Shin and Yasaman Razeghi and Robert L. Logan IV and Eric Wallace and Sameer Singh (2020)
AutoPrompt: Automatic Prompt Construction for Masked Language Models
EMNLP 2020

Huanru Henry Mao, Taylor Shin, and Garrison W. Cottrell (2018) DeepJ: Style-Specific Music Generation. In the 12th IEEE International Conference on Semantic Computing.