Ping-Chang Lin

Ping-Chang Lin is a Senior Imaging Scientist at Roche, specializing in deep learning architectures for object detection and instance segmentation in pathology images, and holds the position of Head of Data Science at Xen.AI, where responsibilities include leading projects on cardiac arrhythmia detection and improving breast cancer and pneumonia classification metrics. Previous experience includes roles as a Computational Scientist at the University of Chicago, where contributions involved investigating image misregistration effects, and as a Research Scientist at Augusta University, focusing on tumor image segmentation and clinical efficacy predictions. Earlier positions involved academia, including as an Assistant Professor at Howard University, and research roles at the University of Kansas Medical Center and NIH, where diverse imaging studies and machine learning analyses were conducted. Ping-Chang Lin holds a Ph.D. in Biophysics from the University of California, Davis, and additional degrees in Photonics, Electrophysics, and Physics from various esteemed institutions.