|
|
|
|
|
|
Currently, I use publicly
available data to characterize and evaluate stage alert systems that existed in the first year and
a half of the Covid-19 pandemic. A stage alert system is a warning system about
the current disease levels for a specific locality. It is often tied with specific
policy recommendations or mandates for that disease level.
Previously, as a researcher, I spent
a couple years on the analysis of primate genomes to better understand primate evolution.
In my postdoctoral studies, my focus
shifted to human population genetics. I used statistics to analyze the patterns of diversity
to understand the forces that shape evolution. For example, I studied patterns of linkage
disequilibrium to gain insight into rates of recombination, as well as the
patterns of divergence to examine the relationship between recombination and
mutation. My PhD research focused on
using mathematical and computational models of evolutionary genetics with the
aim of understanding factors influencing variation in natural populations,
especially how natural selection affects patterns of diversity. I
examined models in which natural selection acts to eliminate variation as
well as to maintain variation, and studied systems as diverse as the
evolution of polygyny in birds to the distribution of indels in Drosophila. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|