The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Adam Gulde! Adam is working on the Outlier Detection via Critical Path Analysis in Artificial Neural Networks project with undergraduate researchers Nicholas Rymarz and Alexander Klein. Adam will be analyzing the effects of removing less important neurons from each layer of a neural network to help make neural networks better at understanding objects they are unfamiliar with. In his free time, Adam enjoys reading Christian philosophy, hammocking, and programming his video game with the UF Open Source Club. You can also connect with Adam on LinkedIn.

Welcome to our lab, Adam!