David Golub


Hi! I'm David. I'm interested in applied machine learning.
I'm currently a second year Master's student at Stanford, studying computer science. Previously, I studied CS/math/physics at the University of Washington.
Jump to my contact info if you want to get in touch.

Publications


Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi. ACL 2018.

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He, Li Deng. EMNLP 2017.

Character Level Question Answering with Attention
David Golub, Xiaodong He. EMNLP 2016.

Work Experience


Citadel Fall '17--AI Research Intern.
Facebook Summer '17 (in progress)-- ML @ Machine Translation Team
Microsoft Research Spring '17-- Deep Learning Team. Worked on reading comprehension, meta-learning, and VQA.
Research Assistant Fall '16, Win '17 -- ML @ Info/NLP Lab. Designed end-to-end pipeline to automatically extract entities + sentiment on community level + dnn classifier for it.
Facebook Summer '16-- ML @ Computer Vision Team. Created key-word based image search.
Microsoft Spring '16-- ML @ Bing Ads. Worked on counterfactual reasoning and addressing train/test distributional differences.
Facebook Fall '15-- ML @ Computer Vision Team. Trained DNN models + built annotation tools.
Microsoft Summer '15-- ML @ Maps Team. Created algorithms to automatically verify authenticity of map data.

Education


Stanford University--2016-?, MS, Computer Science.
University of Washington. 2012-2016--BS in Computer Science, minors in Math and Physics.

Contact Info


golubd at cs[dot]stanford[dot]edu
golubd at cs[dot]washington[dot]edu (slower)
Linkedin: https://www.linkedin.com/in/david-golub-3ba850128