Greg Hamerly, Ph.D.

Greg Hamerly is an Associate Professor of Computer Science at Baylor University, where his research interests lie in the areas of supervised and unsupervised machine learning and the applications of these areas to other fields.

He has worked with the Baylor Collaborative on Hunger and Poverty to develop information dissemination tools for community food programs.

Some of his recent research includes: developing algorithms for detecting invasive freshwater mussels (e.g. zebra mussels) using video imaging data; identifying so-called "white-eye" in recreational photography, which is an indication of many different types of eye disease, including pediatric retinoblastoma; and improving unsupervised learning algorithms such as k-means.

His background includes a research program called SimPoint, which applies unsupervised learning models (i.e. vector-space clustering algorithms) to the task of reducing time in detailed computer architecture simulations.

Research Interests:

Food Security, Child Nutrition, Migration