I study computer science at GWU. I'm very excited to be applying for PhDs in Computer Science for Fall 2023.

Here is my CV, my GitHub, and some 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 with 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.

  • [I'll add a preprint here shortly] Hesham Fouad, Oliver Broadrick, Benjamin Harvey, Charles Peeke, and Bhagirath Narahari, "RealTime AI: Using AI on the Tactical Edge," 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