Jia Wu is an NIH-funded Principal Investigator and an Assistant Professor in the Department of Imaging Physics and in the Department of Thoracic/Head & Neck Medical Oncology at the The University of Texas MD Anderson Cancer Center. He is a trained computational scientist and obtained a Ph.D. in Bioengineering and Civil Engineering from the University of Pittsburgh. He was a Postdoctoral Research Fellow at the University of Pennsylvania and an instructor at Stanford University.
Pingjun Chen, Ph.D.
Ph.D. - Biomedical Engineering, University of Florida, FL (2020)
M.S. - Software Engineering, Dalian University of Technology, China (2015)
B.S. - Software Engineering, Dalian University of Technology, China (2012)
Pingjun Chen started postdoctoral training in the department of Imaging Physics at the MD Anderson in October 2020. His research interests lie in health informatics, biomedical image analysis, machine learning and deep learning. He aims to attain objective biomarker assessments and identify novel biomarkers via computational techniques to empower cancer prevention and treatment.
Maliazurina Saad, Ph.D.
Ph.D. - Mechatronics, Gwangju Institute of Science and Technology, South Korea (2018)
M.S. - Mechatronics, Gwangju Institute of Science and Technology, South Korea (2014)
B.S. – Computer and Communication Systems Engineering, University Putra Malaysia (2008)
Maliazurina Saad started as a postdoctoral fellow in the department of Imaging Physics at MD Anderson in December 2020. Her research interests lie in radiomics, radio-genomics, health informatics, machine learning and deep learning. She is currently working on developing imaging biomarkers for immunotherapy in lung cancer patients. She aims to correlate the imaging biomarkers with clinical outcome, as well as to integrate imaging with genomic biomarkers for better prediction.
Morteza Salehjahromi, Ph.D.
Ph.D. – Electrical Engineering, University of Massachusetts Lowell, MA (2019)
M.S. – Electrical Engineering, Shiraz University, Iran (2013)
Morteza Salehjahromi started his postdoctoral training in the department of Imaging Physics at MD Anderson. His research interest is image reconstruction, machine learning and deep learning. He is working on developing deep learning-based segmentation and classification models for the purpose of lung cancer diagnosis and treatment.
Sheeba Jenifer Sujit, Ph.D.
Ph.D. - Biomedical Engineering, Monash University, Malaysia
M.Eng. - Electronics and Communication Engineering, Bharathiar University, India
B.Eng. - Electrical and Electronics Engineering, Bharathiar University, India
Sheeba Sujit is a postdoctoral research fellow in the department of Imaging Physics at MD Anderson. Her research interests include leveraging artificial intelligence and machine learning to advance medical image analysis using High Performance Computing clusters. She is currently working to develop quantitative imaging biomarkers to predict treatment response in lung cancer patients.
John Boom is a Duke undergraduate double-majoring in biomedical
engineering and chemistry. John is interested in rational drug
design/discovery, global health and deep learning. John currently
plans on pursuing an M.D./Ph.D., and his dream is to work at the
intersection of medicine, research and entrepreneurship. John is an
avid soccer fan, and in his free time he loves to hike, read sci-fi
and play piano.
Former Lab Members
James George graduated from the University of Michigan in 2020 with a B.S.E in biomedical engineering. During his last summer as an undergraduate student, he participated in the CPRIT-CURE program at MD Anderson in the Wu Laboratory. The experience solidified his interest in cancer research and computational methodologies. It also led him to his current work as a post-baccalaureate research associate which involves using in vivo models and high-throughput sequencing techniques to study cancer development at the Michigan Center for Translational Pathology in the University of Michigan Hospital.