Daniel Bolya

Daniel Bolya is a highly qualified research scientist with extensive experience in artificial intelligence and machine learning. His recent roles include a Research Scientist position at Meta's FAIR since June 2024 and previous internship roles at Meta AI and Facebook AI, where projects focused on cutting-edge topics such as Hydra Attention and Grounded Unsupervised Part Segmentation. Bolya's academic journey includes a PhD in Machine Learning from Georgia Institute of Technology, with notable contributions to conferences like CVPR and ICLR on topics such as Token Merging and model merging across tasks. Prior research experience at the University of California, Davis, included pioneering work on YOLACT under the guidance of Yong Jae Lee. Bolya holds a Bachelor of Science in Computer Science from the University of California, Davis, with a remarkable GPA of 3.98.