About Us
Zeno is built by a team of researchers at Carnegie Mellon University.
Team

Ángel Alexander Cabrera
PhD Student

Donald Bertucci
Undergraduate Student

Erica Fu
Undergraduate Student

Tianqi Wu
Masters Student

Yi-Cheng (Steven) Huang
Research Associate

Josh Zhou
Undergraduate Student

Ameet Talwalkar
Associate Professor

Jason Hong
Professor

Adam Perer
Assistant Research Professor
Sponsors & Organizations
We are thankful to our sponsors and affiliated organizations. Zeno is part of the Mozilla Technology Fund and developed partly with the support of an NSF grant.
Contact
If you have any questions or issues with Zeno please ask in our Discord or open an issue on GitHub
Cite
Please reference our CHI 2023 paper if you would like to cite Zeno:
@inproceedings{cabrera23zeno,
author = {Cabrera, Ángel Alexander and Fu, Erica and Bertucci, Donald and Holstein, Kenneth and Talwalkar, Ameet and Hong, Jason I. and Perer, Adam},
title = {Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning},
year = {2023},
isbn = {978-1-4503-9421-5/23/04},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3544548.3581268},
doi = {10.1145/3544548.3581268},
booktitle = {CHI Conference on Human Factors in Computing Systems},
location = {Hamburg, Germany},
series = {CHI '23}
}