Education
PhD (Biomedical Engineering) Case Western Reserve University (2001)
Postdoctoral Fellowship (Medical Physics) Stanford University (2003)
MS (Biophysics) Chinese Academy of Sciences (1997)
BS (Applied Physics) Tsinghua University (1994)
Board Certification
Therapeutic Radiological Physics (The American Board of Radiology) 2006
Honors and Awards
2020 AAPM Grand Challenge “The Open Knowledge-Based Planning Challenge,” # 5 out of 100
2017 The Science Council Award, American Association of Physics in Medicine
2017 Best Protocol Development Award IBPRO (Integrated course in Biology and Physics of Radiation Oncology)
2014 The Chaney Award for Excellence in Physics Research, Department of Radiation Oncology, UNC Chapel Hill
2013 Editor’s pick, Medical Physics Journal
2004 Top 10 most downloaded paper of Journal of Physiology
1997–2000 Whitaker Foundation Fellowship
1997 “Di Au” Graduates’ thesis competition of Chinese Academy of Sciences, 2nd place
1995 Excellent Graduate Scholarship, Chinese Academy of Sciences
Research Expertise
Image segmentation and registration
Machine learning application in radiation oncology
IMRT/VMAT optimization
Image-guided and adaptive radiotherapy
Grants (Active)
“Impact and Compensation of Intrafractional Motion for Tomotherapy Sterotactic Body Radiaotherapy Treatment (SBRT)”, Accuray, 027214, 2017-2018. Principal Investigator
“Automatic pelvic organ delineation in prostate cancer treatment”, NIH 1R01CA206100, 2018-2023. Principal Investigator
Books/Chapters
J. Lian, L.B. Marks, “Adaptive Radiation Therapy for Lung Cancer,” in Adaptive Radiation Therapy, page 293-311, edited by A.X. Li (CRC Press, 2011).
Y. Gao, Y. Shi, S. Liao, J. Lian*, D. Shen, “Image-Guided Radiotherapy with Machine Learning,” in Machine Learning in Radiation Oncology: Theory and Applications, page 157-192, edited by Issam El Naqa, Ruijiang Li and Martin J. Murphy (* senior author, Springer International Publishing, 2015).
