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ABOUT ME

I have recently earned my Doctorate of Philosophy at the University of Illinois Chicago in Computer Science, under my advisor, Dr. Mesrob Ohannessian, investigating Algorithmic Justice. I am a Google + BlackinRobotics Fellow, GEM Fellow, NSF Bridge to Doctorate Fellow, and Bill and Melinda Gates Scholar/Fellow. I will soon be joining Brown University as a Postdoctoral Researcher in Biostatistics, under Dr. Rebecca Hubbard.

 

I graduated as a part of the Dual Degree Engineering Program at Spelman College, where I studied Computer Science, and Auburn University, where I studied Computer Engineering. 


My main hobbies are largely mentoring and dance. I have been a part of various mentorship programs, while also mentoring others. I have been a member of many dance organizations and have danced for about 10 years.

Kenya S. Andrews, Ph.D.
Photograph by: Royal Photography

RESEARCH INTERESTS

Artificial Intelligence Ethics & Justice

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Machine Learning

Algorithmic Justice

EDUCATION

2013-2017

Spelman College​

Dual Degree Computer Science & Engineering, BS

2017-2019

Auburn Univeristy

Computer Engineering, BCMPE

2020 - 2025

University of Illinois Chicago

Computer Science, Ph.D.

Human-Robot Interaction

Ethical Algorithms

HIGHLIGHTED UPDATES + NEWS

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  • Plenary Talk: Equity and the Societal Implications of Global Technologies Cluster Symposium, New York University (NYU) | April 2025

  • Invited Talk: UIC EIEP First Gen: Navigating Graduate School | March 2025

  • DISSERTATION SUCCESSFULLY DEFENDED!!! WHOOT WHOOT! | March 2025

  • Paper accepted at AAAI Workshop - DOCU@AAAI-25! | Jan 2025

  • Invited Talk: ENGIE SA Keynote Panelist: Ethics and AI | November 2024

  • Invited Talk: EAAMO Keynote Panelist: Decolonizing STEM Curriculum | October 2024

  • PhD Candidacy Passed!!! | March 2024

  • Awarded: Google + BlackinRobotics Fellowship! | August 2023

  • Poster Presentation: CRA-WOMEN in San Francisco, CA | April 2023

  • Invited Talk: UIC ECE 418 in Chicago, IL | April 2023

  • Invited Talk: UIC ECE 394 in Chicago, IL | March 2023

  • Lightening Talk: CRA-IDEALS in Honolulu, HI | March 2023

  • Oral Presentation: LSMRCE'22 in Schaumburg, IL | October 2022

  • Oral Presentation: EAAMO'22 in Washington D.C. | October 2022

  • Awarded: GEM Fellowship! | August 2022

  • Invited Talk: PTC and Rockwell Automation Keynote Panelist: Technology As an Equalizer | Feb 2022

  • Sat on Diverse Voices Panel for Trustworthy Machine Learning Textbook | Jan 2022

  • Awarded: NSF Bridge to Doctorate Fellowship! | August 2021​​

  • Poster Presentation: Women in Data Science (WiDS) Cambridge | "Equity, Access, and Vulnerability in COVID-19 Vaccine Allocation" | Poster Presenter | March 2021

  • Invited Talk: Silicon Valley Robotics: Society, Robots, and Us: Inclusive Robotics | Panelist | January 2021

  • Started Grad School at the University of Illinois at Chicago in the DICE Lab!!! WHOOT WHOOT! | August 2020

PUBLICATIONS

  • Kenya S. Andrews and Lamogha Chiazor. 2025. Epistemological Bias As a Means for the Automated Detection of Injustices in Text. In Proceedings of the Workshop on Document Understanding and Intelligence at the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania. AAAI Conference on Artificial Intelligence (AAAI).

  • Kenya Andrews, Bhuvni Shah, and Lu Cheng. 2023. Intersectionality and Testimonial Injustice in Medical Records. In Proceedings of the 5th Clinical Natural Language Processing Workshop, pages 358–372, Toronto, Canada. Association for Computational Linguistics.

  • Kenya Andrews, Mesrob Ohannessian, and Tanya Berger-Wolf. 2022. Modeling Access Differences to Reduce Disparity in Resource Allocation. In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO '22). Association for Computing Machinery, New York, NY, USA, Article 17, 1–11.

  • Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter Staar, Skyler Speakman, x, Chinyere Agunwa, Justin Jia, Elizabeth Bailey, Ademide Adelekun, Jules B. Lipoff, Ginikanwa Onyekaba, Veronica Rottemberg, and James Zou. Racial Representation Analysis in Dermatology Academic Materials. 2021. AMIA Annual Symposium, San Diego, CA, October–November 2021.

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