Student Spotlight: Marshal Hayes

Posted on 2018-04-08

Marshal Hayes

Marshal Hayes is currently a junior in the U of M’s computer science program. He has a strong interest in machine learning research, particularly deep learning and computer vision. In addition to attending school full time, he is a research assistant in Prof. Deepak Venugopal’s Machine Learning and AI Lab. He is currently working on a project to “score” a large dataset of Yelp user reviews to determine their usefulness in providing new information.

He has also worked on a few individual projects, including training a deep neural network to predict the result of a chess game without needing to calculate any moves. The model essentially looks at one position near the end of a game and learns to classify the result.

Marshal was selected to attend Google’s TensorFlow Developer Summit in Mountain View, CA, at the end of March 2018. This event provided opportunities for him to expand his machine learning knowledge and network with researchers in the field. In the future, he hopes to continue his research to solve complex problems in medicine, healthcare, transportation, and more.