Research

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.

1. 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. (Presentation video and slides.)
2. Oliver Broadrick, Poorvi Vora, and Filip Zagórski, "PROVIDENCE: a Flexible Round-by-Round Risk-Limiting Audit". To appear, USENIX Security 2023. Similar version on arXiv.
3. Oliver Broadrick, Adellar Irankunda, Maya Shende, Abby Stylianou, and Robert Pless, "Single Image Camera Calibration From Glitter", in preparation to be submitted to ICCP 2023.
4. Hesham Fouad, Oliver Broadrick, Benjamin Harvey, Charles Peeke, and Bhagirath Narahari, "Real-Time 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.

Teaching

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.