activity
20002026
most citedTopological Data Analysis of Biological Aggregation Models

200 citations · 964 across the 31 of their papers we have counts for

collaborators

32 papers

stat.AP2026

What exam scores can and cannot prove about unauthorized AI assistance: Evidence from a highly public classroom episode

Chad M. Topaz, Utsav Bahl

In spring 2026, an economics professor at Brown University gave a take-home midterm and, after unusually high scores, made the final exam proctored. Among the 59 students who compl…

physics.soc-ph2026

Institutional Harm through Threshold Cascades

Piper Harris, Chad M. Topaz

Can a population of people not individually inclined to harm others nonetheless produce harmful collective outcomes, purely because of the institutional structure they inhabit? Soc…

cs.CV2026

Topological summaries of fingerprint ridge patterns carry identity information

Chad M. Topaz, Niny Arcila-Maya, Elizabeth Munch +2

Fingerprints are the most widely deployed biometric. Verifying whether two impressions come from the same finger typically relies on minutiae, small landmarks such as skin ridge en…

math.DS2026

A Discrete-Time Model of the Academic Pipeline in Mathematical Sciences with Constrained Hiring in the United States

Oluwatosin Babasola, Olayemi Adeyemi, Ron Buckmire +6

The field of the mathematical sciences relies on a continuous academic pipeline in which individuals progress from undergraduate study through graduate training and postdoctoral pr…

math.AT2026

Reliable Topology for Dynamic Data: Mathematical Foundations and Applications

Chad M. Topaz

Across many scientific domains, practitioners rely on coarse, discretized summaries to track the evolving structure of complex systems under noise, measurement error, and changing…

math.DS2026

A dynamical model of the U.S. mathematics graduate degree pipeline

Chad M. Topaz, Oluwatosin Babasola, Ron Buckmire +5

We present a latent-stock compartmental framework for modeling degree production systems when only completion flows, rather than enrollments, are observed. Applied to U.S.\ mathema…