Dr. Kevyn Collins Thompson

Biography

Kevyn Collins-Thompson is an Associate Professor at the University of Michigan's School of Information and a courtesy Associate Professor of Electrical Engineering and Computer Science in the College of Engineering. His research primarily focuses on information retrieval and human-computer interaction, with a strong emphasis on machine learning. Collins-Thompson aims to develop algorithms that improve the performance of information systems by ensuring they can automatically adapt to users' information needs, particularly in the context of facilitating human learning. He is particularly interested in creating robust algorithms for risk-sensitive information systems that effectively balance risk and reward, a research direction he introduced in his PhD thesis. His work connects the fields of information retrieval and computational finance, leading to new models and evaluation methods that account for risk in information systems. Additionally, he explores large-scale data text mining, natural language processing, and educational applications using information retrieval and machine learning, such as predicting reading difficulty in computer-assisted language learning.

Research Interests

Awards