I study computer science at GWU. I'm very excited to be applying for PhDs in Computer Science for Fall 2023.
Contact me by email: odbroadrick (at) gmail (dot) com
My research interests are still forming. I love thinking mathematically, and I particularly enjoy projects with social impact.
Statistical Election Audits. In a group led by Professor Poorvi Vora, I have worked on risk-limiting audits (RLAs), rigorous statistical procedures used to detect errors in election results. This work has included simulation experiments [1] and the development of a new statistical test, PROVIDENCE, the most efficient and secure ballot polling RLA known today [2]. I wrote a proof that PROVIDENCE is risk-limiting, conducted simulation experiments to verify theoretical claims, wrote an open source implementation, and participated in its pilot use by the US State of Rhode Island, described in their press release. I presented a poster on some of this work at the 2022 GW SEAS R+D Showcase.
Glitter. The appearance of a sheet of glitter illuminated by a point light source is highly sensitive to viewing position. Glitter sheets therefore have strong potential as inexpensive, planar targets for single-image camera calibration. In the sparkly lab of Professor Robert Pless, I've been designing and prototyping such a camera calibration tool resulting in a manuscript we're submitting to ICCP 2023 [3].
Scheduling. I designed and analyzed scheduling algorithms using the imprecise computation model for a project on real-time AI at the edge, contributing in a book chapter [4] on real-time AI.
I quite like teaching. I am the unit tutor for the US Navy ROTC, Capital Battalion, a private tutor at Tungsten Prep, and a teaching assistant in George Washington University's courses on Discrete Mathematics and Foundations of Computing.
Please give me anonymous feedback on my teaching.
"They did not die! I never said died. We lost them, I said. We lost them and we cannot find them." -Tolkien