Andrew Na, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Justin Wan
Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bin Ma
Temiloluwa Femi-Gege, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jian Zhao
Dihong Jiang, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Yaoliang Yu, Sun Sun
David Wajc, Senior Lecturer | Assistant Professor, Taub Fellow
The Technion, Israel Institute of Technology
Marina Meila
Department of Statistics, University of Washington
Senior Fellow, University of Washington’s eScience Institute
Kevin Yeo
Research Engineering Manager, Google
PhD candidate, Columbia University
Private information retrieval (PIR) is a very promising cryptographic tool that enables privacy-preserving data querying that has endless implications to real-world applications. Unfortunately, PIR’s high cost remains a hindrance in widespread adoption.
Farshad Kazemi, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shane McIntosh
Farshad Kazemi, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shane McIntosh
Han Zhao, Assistant Professor
Computer Science, University of Illinois Urbana-Champaign
Amazon Visiting Academic, Amazon AI and Search Science
To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it often comes at the expense of model performance. Understanding such tradeoffs, therefore, underlies the design of optimal and fair algorithms.