Runyu Hong is a Computational Biomedicine Ph.D. student in the Fenyö Lab at New York University. He was born in Dalian, a coastal city in China, and later came to the United States to pursue his higher education. He earned his bachelor’s degree at the University of Wisconsin–Madison, studying biochemistry and mathematics. During his undergraduate training and research, he studied the quantification of interactions between ions and biopolymers through computational modeling and experiments. He joined NYU and the Fenyö Lab in 2017 to study his Ph.D., with research focusing on applying machine learning methods to link histopathological and morphological features in biomedical images to molecular signatures in cancer proteo-genomics data. After graduation, he is planning on working as a research data scientist in the biomedical field to help clinicians, using technologies such as deep learning to improve healthcare qualities and precision medicine. His goal is to make molecular diagnoses accessible, affordable, and agreeable.