معرفی
Anna Meyer is an Assistant Professor in the Computer Science department at Carleton College, where she has been since 2025. She earned her Ph.D. in Computer Science from the University of Wisconsin-Madison, advised by Aws Albarghouthi and Loris D’Antoni, and a B.A. in Mathematics from Carleton College. Before her academic career, she worked as a software developer at Epic in Madison.
Her research focuses on improving the trustworthiness of machine learning models by addressing multiplicity—the phenomenon where models with similar performance produce divergent outputs, undermining reliability and fairness. She employs formal methods, machine learning techniques, and human-computer interaction frameworks to analyze and control multiplicity across ML pipelines. Her work has been recognized through publications at top venues like CHI, UAI, FAccT, and NeurIPS, with a workshop paper at ICLR 2024.
Anna teaches courses such as CS 251: Programming Languages and CS 320: Machine Learning. Her technical contributions include the AntIDoTe-P repository, which implements abstract interpretation techniques to certify robustness against data bias in decision trees. The codebase supports datasets like COMPAS, Adult Income, and Drug Consumption, with preprocessing documented in Jupyter notebooks.
