معرفی
Paul Marjoram is a Research Professor at the University of Southern California in the Department of Population and Public Health Sciences. His research focuses on probabilistic and statistical methods for modeling evolutionary processes, including population dynamics and cancer progression. He is a pioneer in Approximate Bayesian Computation (ABC) and computational genetics.
Research Interests
- Development of Bayesian statistical methods for evolutionary and cancer genomics
- Computational modeling of gene regulatory networks
- Epigenetic conservation and mutational signatures analysis
Publications
His work spans hierarchical Bayesian models, MCMC algorithms, and ABC frameworks applied to diverse biological systems, from Drosophila development to human cancer genetics.
Software Contributions
- Methcon5 for DNA methylation analysis
- fmcmc (Friendly MCMC Framework)
- slurmR for HPC workflows
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