Mengying Shi
Biography
Mengying Shi, Ph.D., is an Assistant Professor in the Department of Radiation Oncology at the University of California, Irvine. She received her Ph.D. in Medical Physics from the University of Massachusetts Lowell in 2020, where her dissertation focused on GPU-accelerated Monte Carlo simulation of MV-CBCT. She completed a medical physics residency at Stanford University in 2022, where she received the Outstanding Medical Physics Resident Award.
Shi's research focuses on Monte Carlo simulation methods for radiation therapy imaging and dose calculation, as well as the development and validation of novel radiotherapy systems. Her work includes developing GPU-accelerated simulation techniques for megavoltage cone-beam computed tomography and creating generative adversarial network-based models for dose calculation in biology-guided radiation therapy systems. She has contributed to the commissioning and validation of the RefleXion biology-guided radiotherapy machine and has published extensively on electronic portal imaging device simulation methods and multi-layer imager technology.
Shi is board certified by the American Board of Radiology in Therapeutic Medical Physics and is a member of the American Association of Physicists in Medicine. Her clinical work encompasses external beam radiation therapy, brachytherapy, and special procedures including total body irradiation. She has authored or co-authored 18 peer-reviewed publications in medical physics journals and has presented her research at national and international conferences.
Return to topEducation
- B.S. in Biomedical Engineering, Shanghai Jiao Tong University, 2009
- M.Sc in Biomedical Engineering, Shanghai Jiao Tong University, 2011
- M.Sc in Medical Physics, Medical Faculty Mannheim, University of Heidelberg, 2012
- Ph.D. in Medical Physics, University of Massachusetts Lowell, 2020
Distinctions
- Outstanding Medical Physics Resident Award, Stanford University, 2022
- Outstanding Graduate Student Award, University of Massachusetts, 2020
- First Year Graduate Student Award, University of Massachusetts, 2017
- Regular Scholarship, Medical Faculty Mannheim, University of Heidelberg, 2011
Areas of Expertise
- Medical Physics
- Monte Carlo Simulation Techniques
- Electronic Portal Imaging Devices
- Flat Panel Detector Characterization
- GPU-Accelerated Dose Calculation
- Biology-Guided Radiotherapy Systems
- Megavoltage Cone-Beam Computed Tomography
Recent Publications
- Harris JP, Boyd C, Shi M, Reilly MP, Simon AB, Seyedin S, Chen W, Nagasaka M, Nabar R, Abi-Jaoudeh N, “Pilot Study of Combining SBRT with Pulsed Field Ablation for Oligometastatic/Oligoprogressive Lung Tumors”, Journal of Vascular and Interventional Radiology, 2025.
- Simon AB, Quezada J, Mohyeldin A, Harris JP, Shi M, Seyedin S, Sehgal V, Chen A, “Integrating Overall Survival and Tumor Control Probability Models to Predict Local Progression After Brain Metastasis Radiosurgery” (opens in new tab), Advances in Radiation Oncology, vol. 9, no. 6, pp. 101474, 2024.
- Shi M, Cui S, Chuang C, Oderinde O, Kovalchuk N, Surucu M, Xing L, Han B, “A time-and space-saving Monte Carlo simulation method using post-collimation generative adversarial network for dose calculation of an O-ring gantry Linac” (opens in new tab), Physica Medica, vol. 119, pp. 103318, 2024.
- Nomura Y, Ashraf MR, Shi M, Xing L, “Deep learning-based fluorescence image correction for high spatial resolution precise dosimetry” (opens in new tab), Physics in Medicine and Biology, vol. 68, no. 19, pp. 195022, 2023.
- Shi M, Simiele E, Han B, Pham D, Palomares P, Aguirre M, Gensheimer M, Vitzthum L, Le QT, Surucu M, Kovalchuk N, “First-year experience of SBRT/IMRT treatment using a novel biology guided radiotherapy machine” (opens in new tab), Advances in Radiation Oncology, vol. 9, pp. 101300, 2023.
- Shi M, Chuang CF, Kovalchuk N, “Small-field measurement and monte carlo model validation of a novel image-guided radiotherapy system” (opens in new tab), Medical Physics, vol. 48, pp. 7450-7460, 2021.
- Lozano IV, Shi M, Myronakis M, Baturin P, Fueglistaller R, Huber P, Lehmann M, Morf D, Ferguson D, Jacobson MW, Harris T, “Frequency-dependent optimal weighting approach for megavoltage multilayer imagers” (opens in new tab), Physics in Medicine and Biology, vol. 66, no. 8, pp. 085012, 2021.
- Jacobson MW, Lehmann M, Huber P, Wang AS, Myronakis ME, Shi M, Ferguson D, Lozano IV, Hu YH, Baturin P, Harris TC, “Abbreviated on-treatment CBCT using roughness penalized mono-energization of kV-MV data and a multi-layer MV imager” (opens in new tab), Physics in Medicine and Biology, vol. 66, pp. 135001, 2021.
- Shi M, Myronakis M, Jacobson M, Ferguson D, Williams C, Lehmann M, Baturin P, Huber P, Fueglistaller R, Lozano IV, Harris T, “GPU-accelerated Monte Carlo simulation of MV-CBCT” (opens in new tab), Physics in Medicine and Biology, vol. 65, no. 23, pp. 235042, 2020.
- Harris TC, Seco J, Ferguson D, Lehmann M, Huber P, Shi M, Jacobson M, Lozano IV, Myronakis M, Baturin P, Fueglistaller R, “Clinical translation of a new flat-panel detector for beam's-eye-view imaging” (opens in new tab), Physics in Medicine and Biology, vol. 65, no. 22, pp. 225004, 2020.
- Shi M, Myronakis M, Jacobson M, Lehmann M, Ferguson D, Baturin P, Huber P, Fueglistaller R, Harris T, Lozano IV, Williams C, “A rapid, accurate image simulation strategy for mega-voltage cone-beam computed tomography” (opens in new tab), Physics in Medicine and Biology, vol. 65, no. 13, pp. 135004, 2020.
- Ferguson D, Harris T, Shi M, Jacobson M, Myronakis M, Lehmann M, Huber P, Morf D, Fueglistaller R, Baturin P, Lozano IV, “Automated MV markerless tumor tracking for VMAT” (opens in new tab), Physics in Medicine and Biology, vol. 65, no. 12, pp. 125011, 2020.
- Myronakis M, Huber P, Lehmann M, Fueglistaller R, Jacobson M, Hu YH, Baturin P, Wang A, Shi M, Harris T, Morf D, “Low‐dose megavoltage cone‐beam computed tomography using a novel multi‐layer imager (MLI)” (opens in new tab), Medical Physics, vol. 47, no. 4, pp. 1827-1835, 2020.
- Shi M, Myronakis M, Hu YH, Jacobson M, Lehmann M, Fueglistaller R, Huber P, Baturin P, Wang A, Ferguson D, Harris T, “A novel method for fast image simulation of flat panel detectors” (opens in new tab), Physics in Medicine and Biology, vol. 64, no. 9, pp. 095019, 2019.
- Hu YH, Shedlock D, Wang A, Rottmann J, Baturin P, Myronakis M, Huber P, Fueglistaller R, Shi M, Morf D, Star‐Lack J, “Characterizing a novel scintillating glass for application to megavoltage cone‐beam computed tomography” (opens in new tab), Medical Physics, vol. 46, no. 3, pp. 1323-1330, 2019.
- Hu, Y.H., Jacobson, M.W., Shi, M., Myronakis, M., Wang, A., Baturin, P., Huber, P., Fueglistaller, R., Morf, D., Star-Lack, J., Berbeco, R.I., “Feasibility of closed-MLC tracking using high sensitivity and multi-layer electronic portal imagers” (opens in new tab), Physics in Medicine and Biology, vol. 63, no. 23, pp. 235030, 2018.
- Shi, M., Myronakis, M., Hu, Y.H., Morf, D., Rottmann, J., Berbeco, R., “A Monte Carlo study of the impact of phosphor optical properties on EPID imaging performance” (opens in new tab), Physics in Medicine and Biology, vol. 63, no. 16, pp. 165013, 2018.
- Stieler, F., Wenz, F., Shi, M., Lohr, F., “A novel surface imaging system for patient positioning and surveillance during radiotherapy”, Strahlentherapie und Onkologie, vol. 189, no. 11, pp. 938-944, 2013.
- Shi, M., Cui, M., Zhu, Y., Niu, J., Tong, S., “Quantitative measurement of human chorionic gonadotropin (hCG) based on digital image processing”, IEEE, vol. 2, pp. 477-479, 2010. Presented at 2010 3rd International Conference on Biomedical Engineering and Informatics, October 2010.
- Niu J, Shi M, Luo L, Shan B, Zhu Yi, “Optical Device for Quantitative Measurement of Human Chorionic Gonadotropin”, 2009. Patent No. ZL200910050736.9.
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Last updated on 5/24/2026.