Arya Farahi
- Assistant Professor
- Statistics and Data Sciences
Contact Information
Biography
Arya Farahi joined The University of Texas at Austin in 2021 as an assistant professor. Previously he was a Data Science Fellow at the Michigan Institute for Data Science at the University of Michigan. His research contributes to the fields of astroinformatics and urban informatics; and is focused on understanding and mitigating the unexpected and not-well understood consequences of AI models, including algorithmic bias and uncertainty quantification, in real-world settings. He was a Schmidt Science Fellow finalist, recipient of the best student paper award in KDD’18, an awardee of the Michigan Institute for Computational Discovery and Engineering (MICDE) fellowship, and recipient of >$400k grant funding. He is an active member of several international projects and collaborations, including the Dark Energy Survey (DES), the COsmostatistics INitiative (COIN), and XMM-XXL Consortium, among others. He is also a Statistics Without Borders volunteer.
Research
Fields of Interest
- Statistical/Machine Learning
- Algorithmic Fairness
Education
- Ph.D. in Physics, Ph.D. in Scientific Computing, University of Michigan, 2018