About
Computer Science PhD student at CU Boulder, advised by Dan Larremore. I apply machine learning, network science, and statistics to complex social, organizational, and biological systems. I am also interested in developing techniques to collect and combine open, unstructured data from sources like the open Web in order to better model and understand human behavior and social systems. For example, my current projects include studying the structure and dynamics of the labor market for interdisciplinary faculty in academia, improving the coverage and accuracy of gender inference methods using search-grounded LLMs, and developing dynamic ranking methods to model how animal social dominance hierarchies form and evolve over time.
Before joining the Larremore Lab, I worked on resource allocation and simulation methods at the Johns Hopkins University Applied Physics Laboratory, where I had the privilege of receiving mentorship from Dr. Geoff Clapp.
I graduated in 2023 from Carleton College (Northfield, MN) with a BA in Computer Science and a minor in mathematics. During my time at Carleton, I did research in choice modeling and ranking theory with Prof. David Liben-Nowell and studied statistical filtering algorithms used to characterize and remove noise from sensor data with Prof. Jay Tasson as a member of the LIGO Scientific Collaboration.
Publications & Preprints
† denotes equal contribution
- B. Aoki-Sherwood, D. B. Larremore, “Interdisciplinary Faculty Hiring,” NBER Conference on Investments in Early Career Scientists, 2026 (preprint) [PDF | TALK]
- B. Aoki-Sherwood†, C. Bregou†, D. Liben-Nowell†, K. Tomlinson†, T. Zeng†, “When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings,” in AISTATS 2025, PMLR 258, pp. 2368–2376 [PAPER | PDF]
Posters & Abstracts
† denotes equal contribution
- B. Aoki-Sherwood†, K. Barnes†, C. Chavez†, “Birds of a feather write papers together? Prestige homophily and interdisciplinary collaboration in US faculty coauthorship networks,” NetSci 2026, Boston [POSTER]
- B. Aoki-Sherwood, D. B. Larremore, “How Does Interdisciplinary Faculty Hiring Shape the US Academic Landscape and Individual Careers?” Best Poster Award, CU Boulder Computer Science Department Annual Research Expo [POSTER]
- B. Aoki-Sherwood†, C. Bregou†, D. Liben-Nowell†, K. Tomlinson†, T. Zeng†, “Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models,” AAMAS 2024, pp. 2129–2132 [ABSTRACT | POSTER] (full version: AISTATS 2025)