Hello! My name is Chang Gao. I am a Senior Scientist at Siemens Healthineers. Before joining Siemens, I earned my Ph.D. in Biomedical Physics at UCLA. My interests lie broadly in machine learning, computer vision, and their application in medical imaging and healthcare.
Education
University of California, Los Angeles
Los Angeles, CA, USA | 2017 – 2023
Ph.D. – Physics and Biology in Medicine (Biomedical Physics)
Dissertation: Deep learning-based image reconstruction in abdominal and cardiac MRI
Tsinghua University
Beijing, China | 2013 – 2017
B.E. – Engineering Physics | B.E. – Business Administration
Experience
Siemens Medical Solutions
Los Angeles, CA | Nov 2023 – Present
Senior Scientist, MR R&D Collaborations
- Utilize deep learning for diffusion MRI image reconstruction and artifact removal
- Develop deep learning-based automatic image quality assessment and feedback tools
- Support collaborations with 5+ prestigious research universities and institutions in Southern California and Hawaii
Siemens Medical Solutions
Los Angeles, CA | Aug 2019 – Nov 2019
Research Intern, MR R&D | Advisor: Dr. Xiaodong Zhong
- Designed and implemented protocols to investigate the effects of 8 confounding factors on liver fat and R2* quantification using breath-held and free-breathing MRI sequences
- Conducted experiments with 21 sequences on 5 human subjects and a phantom on 3T and 1.5T MRI
- Identified 3 important confounding factors that need to be investigated further in larger patient population; presented at ISMRM 2020
Massachusetts General Hospital | Harvard Medical School
Boston, MA | Jun 2016 – Sep 2016
Research Intern, Gordon Center for Medical Imaging | Advisor: Dr. Chao Ma
- Implemented a motion tracking method that measures real-time motion of MR active markers
- Developed a motion corrected reconstruction method for PET/MRI scanners
- Demonstrated the feasibility of the method using phantom experiments; presented at ISMRM 2017
Skills
Programming: Python, C/C++, MATLAB
Chang Gao, Ph.D. 