
BrendanAvent
Privacy Engineer @ Snap Inc.
Privacy, AI, and the pesky chasm between theory and practice.

About
My research interests lie at the intersection of privacy and AI, drawn to the subtle tensions between theory and deployment. Especially in adversarial settings, where ideas get stress-tested and either hold up or quietly break down.
I’m especially interested in translating cutting-edge ideas into systems that actually work.

Snap Inc.
Privacy Engineer designing and evaluating privacy-preserving systems at scale.

USC
Ph.D. in Computer Science under Aleksandra Korolova. Research focused on bridging the gap between differential privacy theory and the practical constraints of real-world systems.

Virginia Tech
Bachelor's degrees in CS, Math, Statistics, and Economics. Researched hypergraph algorithms with T. M. Murali; primary author of halp, the open-source Python hypergraph package.
Projects




Automatic Discovery of Privacy-Utility Pareto Fronts
Pfitzmann Best Student Paper· PPML @ CCS, 2019

The Power of the Hybrid Model for Mean Estimation

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
· TPDP @ CCS, 2017

Pathway Analysis with Signaling Hypergraphs


Teaching Asst.

Algorithm Analysis

Privacy in the World of Big Data

Data Analytics & Machine Learning
