I am an undergraduate senior at Rice University in the department of Computer Science, where I am advised by Prof. Anshumali Shrivastava and Prof. Anastasios Kyrillidis. I am interested in Machine Learning, and more recently semisupervised learning, optimization, and GANs.

In 2018, I interned at 3Red Trading, where I applied Machine Learning to trade equities. Since 2017, I’ve been working on Valhalla Healthcare, a startup aiming to reduce physician burnout by automating documentation, augmented with Machine Learning.

You can contact me at johnchen@rice.edu


Negative sampling in semi-supervised learning. Chen, J. and Shah, V. and Kyrillidis, A. In ICML, 2020. [arxiv]

Decaying Momentum Helps Neural Network Training. Chen, J. and Kyrillidis, A. Preprint and in NeurIPS opt-ml workshop, 2019. [arxiv]

Revisiting Consistent Hashing with Bounded Loads. Chen, J. and Coleman, B. and Shrivastava, A. Preprint. [arxiv]