I study computer science at The George Washington University. I completed a BS in '22 and expect to complete an MS in '23. I am applying for PhD programs in computer science for Fall 2023.
Contact me by email: odbroadrick (at) gmail (dot) com
My research interests are still forming, but I like thinking mathematically, and I've particularly enjoyed working on projects that have social impact.
Since 2020 I've been a member of Professor Poorvi Vora's research group on risk-limiting audits (RLAs), rigorous statistical procedures used to detect errors in election results. We developed PROVIDENCE, the most efficient and secure ballot polling RLA known today. I wrote the proof that PROVIDENCE is risk-limiting, designed and conducted simulation experiments, implemented it in open source RLA software, and participated in its pilot use by the US State of Rhode Island, described in their press release. I presented a poster at the 2022 GW SEAS R+D Showcase. Preprints and publications are given below, and an additional manuscript is in preparation.
Hold a sheet of a glitter to light and enjoy the sparkles. Move it just slightly, and a whole new sparkle pattern emerges! This high sensitivity of appearance to pose gives glitter sheets strong potential as a cheap target for single image camera calibration. Since Summer 2022, I've been working with Professor Robert Pless and peer Addy Irankunda on this problem. I've made a few blogs posts about it: 1, 2, 3, 4, 5.
I designed and analyzed scheduling algorithms using the imprecise computation model for a project on real-time AI at the edge. Here is the software, and our submission is given below.