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About

Some information about myself

Research

I've collaborated with academic institutions on projects involving privacy-preserving systems and large-scale data analysis.

Collaborator

Paper: Rally and WebScience: A Platform and Toolkit for Browser-Based Research on Technology and Society Problems

Author(s): Researchers at Princeton University

Published in: Princeton University

Developed core software components for Rally, enabling large-scale, privacy-conscious browser-based research. Contributed to Mozilla's implementation, supporting studies analyzing 4.4M webpage visits from 1,817 participants.

November 4, 2022

Collaborator

Paper: Protecting Privacy by Splitting Trust, a dissertation

Author(s): Henry Corrigan-Gibbs

Published in: MIT CSAIL

Contributed to libprio, a privacy-preserving aggregation library in C, and integrated it into Firefox. Acknowledged in the doctoral dissertation.

December 2019

Contributor

Paper: Testing Privacy-Preserving Telemetry with Prio

Author(s): Researchers at Mozilla

Published in: Mozilla

This blog post has been widely cited in numerous papers for its contributions to privacy-preserving telemetry and Prio integration in Mozilla products.

October 2018

Acknowledged

Paper: Federated Learning for Ranking Browser History Suggestions

Author(s): Researchers at Mozilla

Published in: Mozilla

Contributed to the client-side Firefox parts of federated learning experiments.

November 2019

Acknowledged

Paper: The Unreasonable Effectiveness of Traditional Information Retrieval in Crash Report Deduplication

Author(s): Researchers at University of Alberta

Published in: University of Alberta

Acknowledged for making Mozilla’s massive collection of crash stack reports publicly available, enabling open research and data access.

2016