Yuhua "Bill" Chen received his bachelor of science in biomedical engineering from Northeastern University in China. Then he finished his dual-degree master study in bio/biomedical engineering and computer & technology information at Univeristy of Pennsylvania in 2016. He is currently a PhD student at UCLA majoring in bioengineering, focus on biomedical imaging and signal processing. His current research includes developing advanced imaging techniques for cardiovascular MRI.
Anthony G. Christodoulou, PhD, earned his doctorate in electrical and computer engineering from the University of Illinois at Urbana-Champaign before joining the Cedars-Sinai Biomedical Imaging Research Institute in 2015. Christodoulou's primary research interests are in multidimensional quantitative MRI methods and techniques, particularly the development of MR multitasking.
Zixin Deng, PhD, received her bachelor of science in biomedical engineering from the University of California, Irvine, with a specialization in biophotonics. In November 2017, she completed her doctoral studies in bioengineering at UCLA under the supervision of Debiao Li, PhD. Her current research interest is in the development of novel MRI techniques. She has been working specifically in applications such as cardiovascular disease and radiotherapy planning for abdominal cancer. She began as a graduate student and is remaining in the Li Laboratory as a postdoctoral scientist continuing her work on developing novel MRI techniques.
David Gultekin, PhD, joined Cedars-Sinai Medical Center from Memorial Sloan-Kettering Cancer Center and Cornell Medical College, where he had joint appointments as assistant professor. He provided a broad range of physics and engineering expertise for cancer imaging and participated in multi-institutional clinical trials for the assessment of response to radiation, chemical cytotoxic and targeted therapies such as monoclonal antibodies and anti-angiogenic therapies. He developed methods and algorithms for processing large radiological datasets to enhance clinical practice and research. He investigated MRI techniques to measure mass and energy transport processes with high spatial and temporal resolutions and developed methods for measuring thermal diffusivity, thermal conductivity, heat transfer coefficients, specific heat, specific absorption rate, thermal power and heat of reaction in substances noninvasively. He received a BS degree at ITU-Istanbul, an MS degree at Stevens, completed a graduate program at MIT and then received MS, MPhil and PhD degrees at Yale University. He held postdoctoral and fellowship positions at Duke, Caltech and Johns Hopkins. Dr. Gultekin joined Dr. Debiao Li to advance cancer imaging programs.
Pei Han received his bachelor degree in engineering physics at Tsinghua University. He is currently a PhD student at UCLA majoring in bioengineering, and a visiting graduate student at Cedars-Sinai Biomedical Imaging Research Institute. His current research includes developing advanced imaging techniques for CEST MRI.
Sen Ma received his bachelor of science degree in electronic engineering at Tsinghua University and received his master of science degree in electrical engineering at UCLA. He is currently a PhD student at UCLA majoring in bioengineering with the subfield of biomedical imaging and signal processing. His current research includes developing advanced image reconstruction methods for cardiovascular MRI.
Touseef Ahmad Qureshi, PhD, earned his doctorate in medical image computing from the University of Lincoln, England, in 2016. Afterward, he worked as postdoctoral research fellow at the Department of Medical Physics and the Department of Epidemiology and Biostatistics in Memorial Sloan Kettering Cancer Center in New York. In the Li Laboratory, Qureshi works on multiple projects developing cancer detection and risk prediction models, as well as teaching activities for students of BIRI and UCLA. Qureshi has extensive research experience in retinal image computing and analysis. He has performed studies for quantifying retinal vascular behavior with association to several diseases including diabetic retinopathy, macular degeneration and cardiovascular complications. His main focus is on analyzing MR/CT images and genetic data for early detection and prediction of breast cancer and pancreatic cancer. Qureshi has technical expertise in machine learning, deep learning, deep data analysis, Bayesian probability and graph based approaches to solve low-level vision problems.
Nan Wang received her bachelor of science degree in electrical engineering at Peking University in 2015. She is currently a PhD student in the Bioengineering Department at UCLA. Her current research interest is in carotid magnetic resonance imaging.
Yibin Xie, PhD, received his bachelor's degree from Zhejiang University, master's degree from Johns Hopkins University and doctorate from the UCLA, all in biomedical engineering. Xie is currently a project scientist at Cedars-Sinai with research interests in vessel wall imaging, coronary artery imaging and diffusion weighted imaging. His current research in the Li Laboratory includes vascular imaging and hyperpolarized MRI.