Byung-Jun Yoon

Dr. Byung-Jun Yoon is a Professor in the Department of Electrical & Computer Engineering at Texas A&M University and a Scientist at Brookhaven National Laboratory's Computing and Data Sciences division. His research focuses on AI-driven scientific discovery, optimal experimental design under uncertainty, and bioinformatics. Yoon holds a joint appointment at BNL since 2019 and has served as a founding faculty member at Hamad bin Khalifa University (2014–2016). He earned his Ph.D. from Caltech (2007) and has received awards including the NSF CAREER Award and multiple best paper recognitions.

Education: B.S.E. (summa cum laude) from Seoul National University (1998), M.S. and Ph.D. in Electrical Engineering from Caltech (2002, 2007). His theoretical interests include objective-based uncertainty quantification, machine learning, and signal processing. Application areas span bioinformatics, computational network biology, and AI-driven drug/materials discovery.

Key contributions include advancements in optimal experimental design, Bayesian optimization, and neural network applications in scientific contexts. His work is published in top venues like IEEE Transactions and ACM conferences. He serves as an associate editor for multiple journals and chairs major bioinformatics conferences. Current projects include ARPA-H-funded vaccine design platforms and quantum chemistry benchmarking.