Name | Background |
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Third Year Resident |
Education: Postdoctoral Fellowship, Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas PhD, Physics, Oklahoma State University, Stillwater, Oklahoma MS, Medical Physics, Oklahoma State University, Stillwater, Oklahoma MSc, Physics, Tribhuvan University, Kathmandu, Nepal Research Area: Prompt-gamma imaging, proton radiography, and x-ray spectroscopy. Biography: Rajesh completed a BSc in Physics, Mathematics, and Statistics from Tri-Chandra Multiple Campus, and a MSc in Physics from Tribhuvan University, Kathmandu, Nepal. He also completed a MS in Medical Physics with a focus on the determination of energy spectra of x-ray beams from Oklahoma State University. He worked with a research team as a Postdoctoral Fellow in the Radiation Physics Department of The University of Texas MD Anderson Cancer Center. He joined the Department of Radiation Oncology as a medical physics resident in 2020. |
Second Year Resident |
Education: Postgraduate Certificate, Medical Physics, Rutgers University PhD, Physics, Institute of Modern Physics, Chinese Academy of Sciences BS, Physics, Heibei University, China, Major in Applied Optics Research Area: Thermal imaging Biography: Shiping completed a PhD in physics with a focus on the experimental study of electron incident double ionization of atoms. She focused on ion mobility spectrometry before entering the field of medical physics through a certificate program at Rutgers University. She joined the Department of Radiation Oncology as a medical physics resident in July 2021. |
First Year Resident
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Education: Postgraduate Certificate, Medical Physics, Rutgers University PhD, Nuclear Engineering, Texas A&M MS, Nuclear and Radiation Engineering Research Area: Dual-Energy CT Biography: Fergany is a computational scientist with a PhD in nuclear engineering who is hardworking and has a creative flair. As a post-doctoral research associate, he developed and implemented advanced radiation therapy treatment techniques. He also worked on developing a novel model based on integrating conducted experimental work, validated mesoscale models, and various machine learning (ML) algorithms to simulate the radiation effects on the microstructure and the physical properties of materials. He joined the Department of Radiation Oncology as a medical physics resident in July 2022. |