School of Medicine
Showing 11-20 of 23 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. -
Jinglong Wang
Postdoctoral Scholar, Radiation Biology
BioDr. Wang was trained at the Jacques Monod Institute and École Normale Supérieure in Paris, France under the mentorship of Dr. Terence Strick. and obtained his Ph.D. degree from the University of Paris in 2019. He dissected the molecular machinery of human and bacterial NHEJ, and interrogated the mechanism of SpCas9 tolerance to non-specific substrate using single-molecule nanomanipulation tools.
Jinglong’s research in the Frock Lab focuses on DSB-related chromosome topological changes and genomic interactions. -
Mengxiong Wang
Postdoctoral Scholar, Radiation Biology
Current Research and Scholarly Interests1. To investigate the role of p53 in regulating the regression of lung adenocarcinoma and tumor microenvironment.
2. To determine synthetic lethal partner for p53 mutations in the context of lung adenocarcinoma.
