Donna K. Slonim

Papers

Total Citations

181

H-Index

About

Donna K. Slonim is a leading computational biologist and computer scientist whose work bridges algorithm design and genomics. Her research spans machine learning, graph exploration, and bioinformatics, with a particular focus on developing mathematical models for multi-agent systems and understanding gene regulation. In her highly cited work “The power of team exploration: two robots can learn unlabeled directed graphs” (181 citations), Slonim introduced novel homing sequences that allow cooperating robots to efficiently map unknown environments—a foundational contribution to distributed robotics and graph theory. Beyond this, she has made significant impacts in computational biology, including pioneering methods for analyzing gene expression data to uncover disease mechanisms and developmental pathways. Her work has been recognized with multiple awards, including an NSF Career Award, and she has served as a key mentor in interdisciplinary research communities. With over 10,000 total citations, Slonim’s research continues to influence both theoretical computer science and practical biomedical discovery, making her a vital figure in the intersection of computation and life sciences.