Medical Physics Certificate
Medical Physics
University of Florida
2016
Ramin Abolfath, Ph.D. is an Assistant Professor in the Department of Physics and Astronomy and the Medical Physics Graduate Program at Howard University. He is an accomplished physicist, clinical medical physicist, and data scientist. He holds a PhD in Topological Structures in Condensed Matter Physics, with advanced study of quantum Hall effects and superconductivity, having begun his doctoral work at Sharif University of Technology and completed it at Indiana University under the guidance of Prof. Steve Girvin. Beyond his academic appointment, Abolfath works as a Clinical Medical Physicist in radiation oncology and contributes as an adjunct faculty member at MD Anderson Cancer Center, while maintaining research fellowships focused on computational analysis of radiation therapy outcomes.
Abolfath’s research blends theoretical physics with biomedical applications, centering on nano-dosimetry, particle therapy, radiobiology modeling, and machine learning approaches in medical imaging and radiotherapy. His work spans advanced simulations of radiation interactions at thermal and nano scales, therapeutic dose modeling such as FLASH ultra-high dose rate therapy, and the application of deep learning tools for clinical imaging analysis. He has extensive experience across academic and clinical settings, including research at Yale University, the University of Pennsylvania, and professional roles integrating treatment planning, quality assurance, and computational modeling.
Abolfath has authored numerous peer-reviewed publications addressing foundational problems in radiation physics and biological response modeling. He has also been recognized within professional communities—for example serving as a Member-at-Large on an executive committee of a major physics organization—highlighting his active engagement in advancing the field. His multidisciplinary contributions continue to impact both the theoretical understanding and clinical application of medical physics, integrating quantitative science with improved therapeutic strategies.
Medical Physics
University of Florida
2016
Medical Physics Residency
Yale University School of Medicine
2015
Theoretical Physics - Topological States of Matter
Sharif University of Technology/Indiana University
1997
Theoretical Physics - Cosmology, String Theory and Quantum Field Theory
Sharif University of Tech.
1992
Engineering
Iran University of Science and Technology
1989
I am interested in multi-scale modeling of radiation-matter interaction spanning over atto- to milli-seconds, and hours to years post-radiation, with spatial scales from fermi (dimension of nuclei, proton/neutron) to nano-meter (dimension of DNA) and micro-meter (dimension of a cell, normal or cancerous) and finally to human tissues. I dig into fundamental principles in nature from high to low energies including processes involving QCD, QED, that allow calculating Klein-Nishina, Moller, Bhabha, ... scattering processes, ... the weak nuclear interactions responsible for electron capture, positron emission, ... down to condensed matter, complex systems, fractal geometry of tumor cells, and classical description of charged particle energy deposition (e.g., Bethe-Bloch stopping power) to understand the underlying collective phenomenon interplaying optimization and control of clinical outcomes in nuclear medicine, therapeutic, and medical imaging techniques. A variety of phenomena that span over E&M or nuclear couplings to the hydrodynamics of shock-waves and non-equilibrium plasma physics. Along this path, we may discover some non-trivial phenomena such as the formation of the super-critical state of nano-cavities and nano-scale shock-waves by passage of heavy charged particles subsequent by the spontaneous emission of Cherenkov photons due to the sudden collapse of cavities (see my recent publications), as at this stage, the experimentalists in the medical physics community are capable of detecting these effects. To this end, my research tends to be translational medicine and requires multi-disciplinary synergy with chemists, biologists, clinicians, mathematicians, and computer scientists (e.g., to develop machine learning and artificial intelligence, AI, techniques). Currently, I am working on several topics on developing radiobiological and radiochemical models for FLASH-radiotherapy, in particular lower cognitive reduction post radiation, using neural network theories such as Hopfield and Hodgkin–Huxley models, ... and you are more than welcome to join my group at Howard University in these exciting projects.
Several years of experience working as a clinical medical physicist in radiation oncology departments in CT and NJ.
Principal Instigator (PI): of the American Cancer Society Diversity in Cancer Research Institutional Development Grant (DICRIDG-21-074-01-DICRIDG). 2025
Co-Principal Instigator (Co-PI): on a Swiss National Foundation grant proposal, entitled, “Peroxidation reaction dynamics after FLASH irradiation: from liposomes containing amino acids and thiols to cells, normal brain, and Glioblastoma-bearing mice”, SNF-proposal 2023 by P. Froidevaux, MC Vozenin and R Abolfath.
Consultant on R16 grant proposal – awarded by NIH/NCI – San Jose State University
Consultant on R15 grant proposal – awarded by NIH/NCI – UT Arlington
A P01 on FLASH-therapy – UT MD Anderson
Development of multi-scale computational platforms of the biologic response data as a function of dose, LET, ionization density and ion type for biologically driven optimization in particle radiotherapy. The proposal is ready for submission to NIH/NCI as R03/R21.
Award from the French Government to visit the Department of Physics of Universite Paul Sabatier in Toulouse as a visiting scientist
One year PhD research study as exchange student
Read: European Physical Journal | EPJ D Highlight - Optimising proton beam therapy with mathematical models
This chapter explores innovative strategies to enhance radiosensitivity, focusing on hyperthermia, nanoparticle-based radiosensitizers, and DNA repair inhibition. ntegrating hyperthermia, nanoparticle-based radiosensitizers, and DNA repair inhibition represents a promising frontier in enhancing RT efficacy. These approaches offer multifaceted strategies to overcome tumor radioresistance, potentially revolutionizing cancer therapy and improving patient survival rates.
To present a multi-scale formalism to reconcile the theoretical modeling and the experimental observations of H2O2 production and provide a mechanism for the suppression of H2O2 at FLASH-UHDR.
Spikes of high temperature and pressure are created in the vicinity of heavy ions, especially at the Bragg peak. The expected subsequent thermoacoustic effects are however not well understood. In particular, the distribution of the densely packed primary interactions has not been considered in molecular dynamics (MDs) simulations or shock wave solutions. In this work, we derive a dedicated model to describe the primary interactions and their radial distribution, applicable to the modeling of acoustic and thermodynamic effects at the nanoscale
We present a microscopic formalism that accounts for the formation of nano-scale bubbles owing to a burst of water molecules after the passage of high energy charged particles that lead to the formation of “hot” non-ionizing excitations or thermal spikes (TS).
We employ a multi-scale mechanistic approach built upon our recent phenomenological/computational methodologies to investigate radiation induced cell toxicities and deactivation mechanisms as a function of linear energy transfer in hadron therapy. Our theoretical model consists of a system of Markov chains in microscopic and macroscopic spatio-temporal landscapes, i.e., stochastic birth-death processes of cells in millimeter-scale colonies that incorporates a coarse-grained driving force to account for microscopic radiation induced damage.
Intertrack interaction at ultra-high dose rates and its role in the FLASH effect
We construct an analytical model of the distribution, diffusive evolution, and chemical interaction of particle tracks in an irradiated target. We fit parameters of the model to Monte Carlo (MC) simulations of electron tracks, and include the effects of scavenging capacities of different target media. We compare the model’s predictions to MC simulations of many interacting electron tracks, and use the comparison to predict the prevalence of intertrack interactions in the parameter space where the FLASH effect is observed in vivo, and where differential reactive species (RS) yields have been observed in aqua.