Somayeh Gholami

Somayeh Gholami is an Assistant Professor at the University of Utah School of of Medicine and a Medical Physicist in the Department of Radiation Oncology at Huntsman Cancer Hospital. With a PhD in Medical Physics from Tehran University of Medical Sciences and a MSc in Radiation Medicine Engineering from Shahid Beheshti University, she specializes in Monte Carlo simulations for radiotherapy, brachytherapy, grid therapy, and radiobiological modeling. Her work focuses on radiation dose optimization, nanoparticle-enhanced treatments, and advanced dosimetry techniques.

• Primary affiliation: University of Utah School of Medicine
• Medical physicist role: Huntsman Cancer Hospital
• Education: PhD (TUMS), MSc (Shahid Beheshti), BS (Tarbiat Moallem)
• Residency: University of Arkansas for Medical Sciences (2024)
• Postdoctoral fellowship: Virginia Commonwealth University

Dr. Gholami's research centers on improving radiation therapy through computational modeling (Monte Carlo simulations) and innovative applicator designs. She has developed novel surface brachytherapy molds and direction-modulated brachytherapy tandem applicators, with a particular emphasis on dose distribution optimization and radiobiological modeling. Her work also explores the impact of magnetic fields on radiation parameters and the use of nanoparticles for enhanced treatment efficacy.

Recent publications demonstrate trends in Monte Carlo simulations for brachytherapy applications (2025), AI-driven dose distribution prediction (2024-2025), and comparative studies on radiation sources (2023-2024). These works span subfields including medical device design, radiation dosimetry, and computational modeling of biological responses to radiation.

• U.S. Patent No. 104322 (Surface Mould for Skin Brachytherapy, 2021)
• U.S. Patent No. 102889 (Respiratory Control Belt, 2020)
• U.S. Patent No. 103470 (Dynamic Thorax Phantom, 2020)
• U.S. Patent No. 73752 (Brachytherapy Phantom, 2012)

Her clinical research group develops advanced phantoms and dosimetry tools for radiation therapy validation, including 4D XCAT digital phantoms for gated radiotherapy studies and customized 3D printed vaginal templates for adaptive brachytherapy. The team also investigates FLASH radiotherapy efficacy and normal tissue complication probability models for various radiation techniques.