I am a Computer Science PhD student at Stanford University.
Prior to Stanford, I received my BA from Williams College.

I'm interested in human language, and am motivated by applications in
artificial intelligence, machine learning, and statistical inference.

Predicting Sales from the Language of Product Descriptions
Reid Pryzant, Young-joo Chung, Dan Jurafsky
SIGIR -- eCom, 2017

Effective Domain Mixing for Neural Machine Translation
Reid Pryzant, Denny Britz, Quoc Le
EMNLP -- WMT, 2017

Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning
Reid Pryzant, Stefano Ermon, David Lobell
CVPR -- EarthVision, 2017

The Prochlorococcus Carbon Dioxide-Concentrating Mechanism
Claire Ting, Kate Dusenbury, Reid Pryzant, et al.
Photosynthesis Research, 2015

The Prochlorococcus Carboxysome: Links to Ecotype Differentiation
Claire Ting, Reid Pryzant.
American Society for Microbiology Meeting, 2014

Metagenomic Analysis of Sargasso Sea Microbiomes
Reid Pryzant, Claire Ting
Williams College Summer Research Poster Session, 2013

Measuring Data Domain Similarity (2017)
Say you have some translation data from (a) courtrooms and (b) talk shows.
This package lets you measure the difference between those domains.

Evaluating Tensorflow (2017)
1) From-scratch implementation of a neural machine translation system
2) Evaluated Tensorflow's seq2seq primitives against this from-scratch baseline

Self-Playing Atari Bots (2016)
1 Implementation of the classic Atari game Breakout
2) Reproduced some reinforcement learning algorithms that teach computers to play it
[Poster] [Paper]

SequenceAnalyzer (2014)
Efficient, easy-to-use genomic toolkit

Intern -- Apple -- Siri, 2017
Intern -- Quantcast, 2015, 2016
Intern -- Jana, 2014