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About Me
About Me
Neyman Assistant Professor
Neyman Assistant Professor
Department of Statistics
Department of Statistics
UC Berkeley
UC Berkeley
I am a Neyman Assistant Professor at UC Berkeley. Before joining Berkeley, I was an Associate Research Scientist* (equivalent to Assistant Professor) at Columbia University. Prior to that, I spent several years as a postdoctoral fellow in Ottawa, Rio de Janeiro, Toronto and New York. I got my PhD in Mathematics at University of Ottawa under supervision of Donald Dawson and David Sankoff. During my PhD years, I also worked on various projects under supervision of Vadim Kaimanovich who also was a member of my PhD advisory committee. Don and Vadim had great influence on my mathematical research and thinking, while David played a significant role in shaping my work in computational biology.
I am a Neyman Assistant Professor at UC Berkeley. Before joining Berkeley, I was an Associate Research Scientist* (equivalent to Assistant Professor) at Columbia University. Prior to that, I spent several years as a postdoctoral fellow in Ottawa, Rio de Janeiro, Toronto and New York. I got my PhD in Mathematics at University of Ottawa under supervision of Donald Dawson and David Sankoff. During my PhD years, I also worked on various projects under supervision of Vadim Kaimanovich who also was a member of my PhD advisory committee. Don and Vadim had great influence on my mathematical research and thinking, while David played a significant role in shaping my work in computational biology.
I am interested in probability, statistics, and their applications in computational biology, particularly in population genetics, phylogenetics, genomics, and cancer. Over the past few years, I have been working on the effects of environmental changes on various aspects of population models, specifically where mutation and selection interact and fluctuate over time. This includes clonal population models that are critical for understanding the co-evolution of cells and/or clones in solid tumors. I also study mathematical models of genome evolution, genome rearrangements (structural variations), and gene-order phylogeny. More recently, I have become interested in applying mathematical and statistical tools to cancer genomics.
I am interested in probability, statistics, and their applications in computational biology, particularly in population genetics, phylogenetics, genomics, and cancer. Over the past few years, I have been working on the effects of environmental changes on various aspects of population models, specifically where mutation and selection interact and fluctuate over time. This includes clonal population models that are critical for understanding the co-evolution of cells and/or clones in solid tumors. I also study mathematical models of genome evolution, genome rearrangements (structural variations), and gene-order phylogeny. More recently, I have become interested in applying mathematical and statistical tools to cancer genomics.
Address: 313 Evans Hall
Department of Statistics
University of California
Berkeley, CA 94720-3860
E-mail: arash.jamshidpey@berkeley.edu
*Associate Research Scientist is an independent researcher whose qualifications are equivalent to those of an Assistant Professor.
*Associate Research Scientist is an independent researcher whose qualifications are equivalent to those of an Assistant Professor.
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