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.

Here is my CV and my GitHub. Here is information about my teaching and tutoring.

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.

Statistical Election Audits

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.

  • [pdf] In review: Oliver Broadrick, Poorvi Vora, and Filip Zagórski, "PROVIDENCE: a Flexible Round-by-Round Risk-Limiting Audit". USENIX Security 2023.
  • [pdf, video, slides] Oliver Broadrick, Sarah Morin, Grant McClearn, Neal McBurnett, Poorvi L. Vora, and Filip Zagórski, "Simulations of Ballot Polling Risk-Limiting Audits". Seventh Workshop on Advances in Secure Electronic Voting, in association with Financial Cryptography 2022.


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.

A sheet of a glitter with fiducial markers in the corner for locating individual specs; this is a real prototype of the camera calibration target we are proposing.
  • [ ] In preparation: Oliver Broadrick, Adellar Irankunda, Maya Shende, Abby Stylianou, and Robert Pless, "Single Image Camera Calibration From Glitter", in preparation to be submitted to ICCV 2023.

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.

  • [ ] Hesham Fouad, Oliver Broadrick, Benjamin Harvey, Charles Peeke, and Bhagirath Narahari, "RealTime AI: Using AI on the Tactical Edge," In review, submitted to Elsevier book chapter in "Assured Trust and Autonomy in Human-Machine teams (AAAI SSS 2022)", selected invited papers based on presentation at 2022 AAAI Spring symposium.


"They did not die! I never said died. We lost them, I said. We lost them and we cannot find them." -Tolkien