Biography
I'm a master’s candidate in the Department of Computer and Data Sciences with a focus in artificial intelligence. My research involves developing a privacy-preserving, distributed, cloud-based architecture that can perform analytics on user data transparently and at scale. The work aims to address the privacy concerns of increasingly personalized modern applications that derive insight from user data. Previously, I implemented the backend of a contract tracing mobile application, ShareTrace, which aimed to provide a more effective and privacy-preserving approach to containing the spread of disease by considering the propagation of exposure risk through indirect contact of users.
Publication
Paper
- R. Tatton, E. Ayday, Y. Yoo, and A. Halimi, “ShareTrace: Contact Tracing with Asynchronous, Parallel Message Passing on a Temporal Graph,” arXiv [cs.DC], Mar. 23, 2022. [Online]. Available: http://arxiv.org/abs/2203.12445. Description: Provides a design and implementation of an efficient form of the ShareTrace algorithm for infection risk propagation by using asynchronous message passing on a temporal graph. Research was partly supported by the Cisco Research University Funding grant number 2800379.
Poster
- chil22-poster: Poster for the CHIL 2022 Conference. Github. Accessed: May 03, 2022. [Online]. Available: https://github.com/share-trace/chil22-poster. Description: Presented at the 2022 Conference on Health, Inference, and Learning (CHIL). Research was partly supported by the Cisco Research University Funding grant number 2800379.