Education and Professional Interests
I will be joining Harvard Medical School as a first year Ph.D. Student in the Bioinformatics & Integrative Genomics (BIG) Program, with research interests in exploring the intersection of deep learning and precision medicine. I am currently working on problems such as multimodal learning, domain adaptation, and interpretability for computational pathology, and am advised by Dr. Faisal Mahmood. My research will be supported by the NSF Graduate Fellowship.
Previously, I obtained my B.S/M.S. at Johns Hopkins University, where I studied Biomedical Engineering and Computer Science. At Hopkins, I pursued research in scene understanding for surgical robotics under Nicholas Durr and Alan Yuille, and was able to solve problems such as synthetic data generation, depth estimation, and multimodal image fusion for better detection of nonpolyploid lesions in the gastrointestinal tract. Outside of academia, I was an early employee at Proscia, a startup that is building a cloud computing platform for digital pathology, working on various research projects and contributing to their main product, Concentriq (demo). I also worked at Apple on the Health Special Project and Applied Machine Learning Groups. More of my work can be found here.
Some of my favorite podcasts/blogs include: Serious Eats, The Moth, EconTalk, The Dave Chang Show, Artificial Intelligence by Lex Fridman, Secular Talk, and The Fighter and the Kid. I like to explore new cities through a blend of freestyle sessions, cooking workshops, and research conferences.
Email: rchen40 (at) jhu (dot) edu.