The Signals of Subtypes: How AI Creates Personalized Cancer Treatment (Dr. Hang Chang)

Abstract

Hang Chang is a computational biology research scientist at the Lawrence Berkeley National Laboratory (LBNL) in the Department of BioEngineering & BioMedical Sciences, within the Division of Biological Systems and Engineering. He holds a secondary a liation at the LBNL in the Department of Cellular & Tissue Imaging, within the Division of Molecular Biophysics and Integrated Bioimaging. In 2014, Dr. Chang received the R&D 100 Award for the creation of a computational platform called BioSig3D. In 2017, he co-founded the Berkeley Biomedical Data Science Center and currently serves as Co-Director. Dr. Chang's lab focuses on the intersections between machine learning, computer vision, computational biology, informatics, and big data. In this interview, we discussed his work on AI-empowered multimodal biomarker discovery for precision cancer diagnosis and treatment.