For my PhD in Computer Science, I'm very excited to be joining the lab of Guy Van den Broeck at UCLA in Fall 2023. For the past five years, I've been studying math and computer science at GW, advised by the stupendous Poorvi Vora.
[ GitHub ]
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. I've worked in Professor Poorvi Vora's research group on risk-limiting audits (RLAs), rigorous statistical procedures used to detect errors in election results. This has included experimentation  and the development of a new statistical test, PROVIDENCE, the most efficient and secure ballot polling RLA known . I wrote a proof that PROVIDENCE is risk-limiting, conducted experiments to develop understanding of the test, wrote an open source implementation, and participated in its pilot use by the US State of Rhode Island, described in their press release. PROVIDENCE is implemented in open source software package Arlo, the most popular election audit software in the US. I presented a poster on some of this work at the 2022 GW SEAS R+D Showcase, and another poster at the 2023 GW Business and Policy Forum on Cybersecurity.
I quite like teaching. I have tutored high school and college students for the US Navy ROTC Capital Battalion, Tungsten Prep, and the George Washington University Athletics Department. I've been a teaching assistant in George Washington University's courses on Discrete Mathematics and Theory of Computing for several semesters.
Please give me anonymous feedback on my teaching.