Department of Integrative Biology
4098 Valley Life Sciences Building (VLSB)
Berkeley, CA 94720-3140
Phone: (510) 643-4993
My research focuses on developing computational and statistical methods for population genetic analysis. I’m particularly interested in using genomic data to infer pedigrees, with applications in demographic inference and genetic association studies.
I am a PhD student in the UC Berkeley graduate group in Computation Biology. In my undergraduate studies, I was fortunate to work in the Amaral Lab at the Northwestern University Institute on Complex Systems. My current research focuses on method development for detecting selective sweeps from genome-scale polymorphism data. While this problem has been tackled from a number of angles, we take an approximate full-likelihood approach by which we obtain higher power and accuracy in testing for and estimating the strength of sweeps. I am also interested in detecting selection by integrating ancient and modern DNA samples.
Email: ajstern an_at berkeley a_dot edu
I’m interested in studying the evolutionary history of species using genomic data. My current research is focused on humans, using modern and ancient genomic data to learn about our demographic history.
I am a postdoctoral researcher working with the Nielsen lab at U.C. Berkeley and the Sinervo lab at U.C. Santa Cruz. My fields of study include evolutionary biology, behavioral ecology, herpetology, and population genetics. I am particularly interested in questions pertaining to speciation, sexual selection, and the maintenance and loss of polymorphism. My current project in the Nielsen lab is to investigate the genetic basis of the polymorphic mating strategies found in the side-blotched lizard (Uta stansburiana). A major goal of this project is to better understand how specialized mating phenotypes are able to evolve within a species. Please visit my website for more information about my research.
I am a mathematician working on mathematical models for genealogical processes.
I am a population geneticist interested in developing statistical models to infer demographic history and evolutionary dynamics from DNA sequence data. As a grad student with John Wakeley [link to http://wakeleylab.oeb.harvard.edu/], I worked on a variety of topics involving coalescent theory, including coalescence within fixed pedigrees, coalescent models of identity-by-descent, and inference of reproductive and demographic history in triploid asexual snails using a novel sequentially Markov coalescent model. As a postdoc, with Rasmus Nielsen and Kateryna Makova [link to http://www.bx.psu.edu/makova_lab/] I am using population genetics to understand mitochondrial heteroplasmy, modeling mitochondria as a population that is transmitted between generations from mother to offspring and propagated between diverging cell lineages during development. This work aims to provide insights into the inheritance and phenotypic presentation of mitochondrial disease.
I am a postdoctoral scholar recently graduated from the Computer Science Department at Aarhus University, Denmark. My focus has been on developing mathematical models and software tools in the field of population genetics. As a member of the Nielsen group, I have been developing a suite of methods, under the name Ohana, to infer population structure, estimate phylogenetic trees, and detect selection signals.