School of Medicine
Showing 1-6 of 6 Results
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Mohammad Shahrokh Esfahani
Assistant Professor of Radiation Oncology (Radiation and Cancer Biology)
BioWith a primary focus on high-dimensional data, I have significant expertise in developing machine learning tools. Much of my work involves constructing Bayesian models, which effectively convert 'prior knowledge', either inherent in the dataset or obtained from external sources, into mathematical terms—more specifically, prior probabilities.
My recent research efforts have centered on the analysis of genetic and epigenetic signals within cell-free DNA assays. This interest in epigenetics led to the development of a pioneering technique known as EPIC-seq, which has broadened our understanding of this complex field.
It's notable that traditional computational methods in cancer genomics often fall short when confronted with an exceedingly low signal-to-noise ratio—a common scenario in cfDNA analyses. As such, there's an emerging need to devise innovative, robust methods capable of overcoming this limitation—a research area that I'm deeply committed to and actively engaged in. -
Lawrie Skinner
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioDr Skinner is a Board certified therapeutic medical physicist with interests in novel 3D printed devices and a research background in synchrotron x-ray scattering, neutron scattering, molecular dynamics and Monte Carlo computational modelling.
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Scott G. Soltys, MD
Professor of Radiation Oncology (Radiation Therapy) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsMy clinical and research interests focus on the development of new radiation techniques involving stereotactic radiosurgery and radiotherapy for the treatment of malignant and benign tumors of the brain and spine, as well as functional disorders such as trigeminal neuralgia.
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Gregory Arthur Szalkowski
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsWorkflow automation, radiotherapy quality assurance, machine learning
