Hi! I’m a Software Engineer (machine learning & backend) on the Anti-discrimination team at Airbnb. My pronouns are they/them.
I am excited to design and work on projects to reduce discrimination on technology platforms. Most recently, I helped launch Project Lighthouse, an initiative to help Airbnb and other technology companies systematically measure and reduce discrimination on their platforms. I am especially passionate about working to reduce discrimination caused by machine learning systems.
I graduated Summa Cum Laude from the University of Pennsylvania in May 2017, with a Bachelor of Science in Engineering in Computer Science and a minor in Math.
If you have questions or would like to talk, please reach out (especially if you’re a person of color, a woman, transgender or nonbinary, disabled, and/or a first-generation college student)! You can get in touch with me by email or Twitter.
Measuring discrepancies in Airbnb guest acceptance rates using anonymized demographic data
Sid Basu*, Ruthie Berman*, Adam Bloomston*, John Campbell*, Anne Diaz*, Nanako Era*, Benjamin Evans*, Sukhada Palkar*, and Skyler Wharton
*: Authors listed alphabetically.
Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos, Skyler Wharton
, Ellie Pavlick, Marianna Apidianaki, and Chris Callison-Burch.
November 2018. Conference on Empirical Methods in Natural Language Processing (EMNLP).
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles
Christopher Mitcheltree*, Skyler Wharton
*, and Avneesh Saluja.
June 2018. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) - Industry Track.
*: Equal contribution; authors listed alphabetically.
Recent Blog Posts
Machine learning systems as tools of oppression
September 3, 2020.
Project Lighthouse — Part 1: P-sensitive k-anonymity
September 1, 2020.