Karl Marrett, a recent Computer Science PhD graduate from UCLA, received the Best Student Paper Award at the 17th International Conference on Brain Informatics (BI 2024), which was held on December 13-15, 2024, in Bangkok, Thailand.
His award-winning paper, titled “Gossamer: Scaling Image Processing and Reconstruction to Whole Brains,” presents a novel segmentation platform capable of processing terabyte-scale 3D images and mapping them to long-range, fine-grained cellular structures efficiently. This research is a collaborative effort between UCLA’s Computer Science Department, led by Professor Jason Cong, and the School of Medicine, led by Professors William Yang and Hongwei Dong. In addition, Karl presented a second paper, “High Throughput Training Label Generation from Whole Brain Images,” further demonstrating the breadth of his contributions to the field.
The Brain Informatics conference series is recognized as the leading forum for research at the intersection of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence, and Information and Communication Technology and advances our understanding of the interplay between brain studies and informatics.
For more details on the conference and its proceedings, you can visit the official website. Additionally, Marrett’s dissertation, which includes his research on “Gossamer,” is available through UCLA’s Electronic Theses and Dissertations repository.