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}
}