Yehuda Perry is a Ph.D. candidate at Rutgers, The State University of New Jersey, School of Communication and Information, Library and Information Department. Perry’s research focus in new methodologies for improving fairness in Artificial Intelligence, Machine Learning algorithms, Deep Learning, and Imaging Analysis in health context. Perry received his MSc in Applied Data Science from Syracuse University and BA in Social Science and Industrial Engineering from the OU of Israel. Perry designed and developed Machine Learning systems and Artificial Intelligence-powered applications.

Perry designed and developed Machine Learning systems and Artificial Intelligence-powered applications.

He is advised by Vivek Singh.

Interests

Artificial Intelligence, Machine Learning, Deep Learning, Fairness and Imaging Analysis in health context.

Education

Rutgers, The State University of New Jersey: Ph.D. Candidate, Information Science, 2021

Syracuse University : MS.c Applied Data Science, Information Science , 2019 – 2020

The Open University of Israel: Industrial Engineering / Social Science, 2011

Recent news about Yehuda:

  • Summer Institute in Computational Social Science (SICSS) (June 17th – June 28th, 2024)
  • Paper Accepted on May 2024:  National Public Health Dashboards: Protocol for a Scoping Review.
  • Graduate Research Assistant – RWJ Foundation and Rutgers University (2023 – )
  • Awarded Pamela Richards Memorial Scholarship (2023-2024)
  • Distinguished Achievement as a Teaching Assistant (May 5th, 2023)
  • Teaching Assistant (TA) – (2023): Data Science (17:610:560)
  • ASIS&T SIG AI: The Best Abstract and Presentation Runner Up Award (2022)
  • Awarded BI National Israel-US Foundation (BSF)
  • Winter Writing Boot Camp – Cornell University (2022) 
  • Teaching Assistant (TA) / Instructional Assistant (IA) (2021-2022): Introduction to Information Technologies (17:610:550), Data Science (17:610:560), and Data Analytics (17:610:561).
  • Research Assistant (2021-2022): NLP (Natural Language Processing)
  • Awarded Pamela Richards Memorial Scholarship (2021-2022)
  • Workshop paper accepted to CSCW 2021: ‘Biometric Data, Internet of Things and Autonomous Vehicles’