Arash Jamshidpey

Research

Probability and its applications in computational biology, in particular in population genetics, phylogenetics,  genomics, and cancer.

• Probability
  Measure-valued processes in random environment, Fleming-Viot processes with fluctuating selection, superprocesses, probability on symmetric groups, combinatorial probability, random walks and geometry of groups and graphs, random walks and medians, probabilistic boundaries on groups and graphs.

• Population Genetics

Effects of environmental changes and  fluctuating selection on population models including models important for understanding the evolution of cells and clones in solid tumors; clonal branching population models; statistical inference for population models; sampling theory, site/allele frequency spectrum; etc.

• Comparative genomics and gene-order phylogenetics 

Applications of the median problem in phylogeny reconstruction; models of genome rearrangements and evolution; inference methods for phylogenetic trees, structural variations in cancer genomics, etc.

• SARS-CoV-2 

Probabilistic and statistical methods to study the clonal evolution and infer the mutation and growth rates for SARS-CoV-2.