Hsin-Jung (Randy) Yang, PhD, earned his doctorate in bioengineering from UCLA in August, 2016. He earned his master's degree at Northwestern University in electrical engineering and joined the Dharmakumar Laboratory in Cardiac MRI in 2011 and the Han Lab in 2016. His current research interests are novel MRI technologies and their applications.
Fardad Michael Serry earned his master of science in electrical engineering and computer science at the University of Illinois, Chicago, as well as a master's degree in physics from the University of New Mexico, Albuquerque. He received his bachelor of science in physics with honors along with minors in chemistry and mathematics from Elmhurst College in Illinois. Serry's research interests are on novel MRI hardware and software technology.
Yujie Shan is a Research Associate at the Biomedical Imaging Research Institute (BIRI) at Cedars-Sinai. He got his master's degree in mechanical engineering with advanced manufacturing track at the University of Southern California in 2019 and then joined BIRI in October 2019. His research interests mainly focus on novel MRI hardware and methodologies for in vivo and material applications and additive manufacturing technology. In particular, he has pioneered the mechanical design of MRI cardiac and body scanners using novel MRI scanning technology known as iPRES (integrated Parallel Reception, Excitation and Shimming).
Yubin (Micah) Cai earned his master's degree in electrical and computer engineering from UCLA in 2019 and earned his Bachelor of Science degree in electrical engineering from UCLA in 2017. His current research interests are novel antennas, PCB and software designs for MRI.
Dausch holds a bachelor of science degree from the Department of Biomedical Engineering at North Carolina State University. His primary research interest is developing novel ways to improve the speed and clarity of MRI technology. In the future, Dausch would like to use this experience to work in the research and development of medical imaging.
Yuheng (Chris) Huang is a graduate student at the University of Southern California majoring in electrical engineering focusing on image and signal processing. His current research interests are on MRI shimming simulation, MRI reconstruction and machine learning.
Nan Wang received her bachelor of science degree in electrical engineering at Peking University in 2015 and her PhD degree in bioengineering at UCLA in 2020. She is currently a postdoctoral scientist in BIRI, Cedars-Sinai. Her major research interest is in quantitative body MRI, including multi-parametric mapping and DCE.