Gary Y Li

Gary Y Li is a Deep Learning Scientist at Philips, engaged in developing algorithms for medical ultrasound imaging data since August 2022. Previously, as a Postdoctoral Research Fellow at Harvard Medical School and Massachusetts General Hospital from 2021 to August 2022, Gary Y Li created a spatially-variant PET image denoising algorithm and a multi-modality transformer model for semantic segmentation. Earlier experiences include serving as an Undergraduate Research Assistant at the Virtual Education and Research Laboratory and a Deep Learning Research Intern at Brigham and Women's Hospital, where Gary Y Li published a journal article as the first author. Additional roles include internships at Oak Ridge National Laboratory and IBM, contributing to research leading to a publication and a patent. Gary Y Li's academic background includes earning a degree from The Johns Hopkins University, where involvement included serving as a Teaching Assistant in medical image analysis and image processing courses.