Sierra Wyllie

Sierra Wyllie

Student of Engineering Science at the University of Toronto

University of Toronto Engineering Science

CleverHans Lab


I am a third year engineering science student at the University of Toronto. I am currently a member of the CleverHans Lab under Nicolas Papernot at University of Toronto and the Vector Institute. My research interests include fairness and security for trustworthy ML.

Download my resumé.

  • Artificial Intelligence
  • Trustworthy Machine Learning
  • BaSC in Engineering Science - Machine Learning, 2025

    University of Toronto

  • HS Diploma, 2020

    Gatton Academy of Mathematics and Science

  • HS Diploma, 2020

    Henry Clay High School Liberal Arts Academy


Research Intern
May 2021 – Present Toronto
Investigating fairness in machine learning, mentored by Prof. Nicolas Papernot in the CleverHans trustworthy machine learning lab.
Jun 2022 – Aug 2022 Paris, France (Remote)
Worked as a technical intern with the OECD Expert Group on AI Compute and Climate with world leaders in AI, AI compute, and international policy. Developed frameworks to accurately explain importance of AI compute in national development.
Electrical and Software Engineering Intern
Jun 2020 – Aug 2020 Lexington, KY
Assembled electrical components currently aboard the International Space Station for client R&D projects. Introduced artificially intelligent and autonomous solutions including UIs, fluid detection and direction tracking, and phase microscopy.
Research Student
Western Kentucky University
Jan 2018 – May 2020 Bowling Green, Kentucky
Built classification system using ML in sci-kit Python on CICIDS-2017 dataset. Presented at regional conferences, such as ACM Mid-Southeast, and won best undergraduate poster. Also conducted a survey of metaheuristics for load balancing in WKU Cloud Lab’s Bioinformatics Cloud. Presented at WKU Student Reach Conference in March 2019.

Recent Publications

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(2023). Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. In ICLR.


(2022). Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. In NeurIPS.

Cite Slides