Tea is a high-level language and runtime system
for automatically selecting and executing valid statistical tests.
We are always looking to feature people who have used Tea. Please get in touch if you'd like your work featured!
Research publications and presentations
The development of Tea is led by Eunice Jun (UW) and Maureen Daum (UW).
Tea is a multi-disciplinary and cross-institution collaboration involving Jared Roesch (UW), Sarah Chasins (UC Berkeley), Emery Berger (UMass Amherst), Rene Just (UW), and Katharina Reinecke (UW).
If you would like to collaborate, please get in touch!