Michael Chungyoun
About Michael Chungyoun
Michael Chungyoun is a research scientist and PhD candidate at Johns Hopkins University, specializing in the development of AI models for therapeutic antibody design.
Research Scientist Michael Chungyoun
Michael Chungyoun is a research scientist currently pursuing a PhD at Johns Hopkins University. His work is situated at the intersection of the Chemical and Biomolecular Engineering and Applied Mathematics and Statistics departments. His research focuses on developing artificial intelligence models for the design of therapeutic antibodies. Michael's projects involve advanced computational techniques like denoising diffusion probabilistic models and large language models, aiming to innovate new therapeutic antibody candidates.
Michael Chungyoun Education and Expertise
Michael Chungyoun is a PhD candidate at Johns Hopkins University, where he is enrolled in the Department of Chemical and Biomolecular Engineering and the Department of Applied Mathematics and Statistics. His education and ongoing research are centered around the development and application of artificial intelligence models for pharmaceutical and therapeutic purposes, specifically in designing therapeutic antibodies.
Michael Chungyoun Research and Projects
Michael Chungyoun's research includes the development of artificial intelligence models to aid in the creation of therapeutic antibody candidates. He is actively involved in leveraging cutting-edge methodologies such as denoising diffusion probabilistic models and large language models. These advanced computational techniques are utilized to advance the field of therapeutic antibody design and are integral to his PhD research at Johns Hopkins University.
Michael Chungyoun Internships and Industry Experience
Michael Chungyoun has completed internships at several prominent companies in the biotech and pharmaceutical industries. His experience includes positions at Prescient Design, Genentech, Novo Nordisk, Adaptive Biotechnologies, and Membrion. These internships have provided him with a diverse and comprehensive understanding of the industry, thereby enhancing his research and practical knowledge in therapeutic antibody design.