I graduated from Smith College in 2008 with a B.A. in Mathematics. After Smith, I worked for a year as an associate statistician, then spent two years at the National Institutes of Health (NIH). WHile at the NIH, I worked in the Biostatistics Research Branch of the National Institute of Allergy and Infectious Disease. In September 2011, I left the NIH to start my PhD in biostatistics at the University of Washington, where I am a fifth year student.
Currently, I am the recipient of an NIH Statistical Genetics Training Grant. Previously, I received the NIH Mental Health Training Grant and worked as a research assistant with Dr. Debra Kaysen and Dr. Isaac Rhew at the Center for the Study of Health and Risk Behaviors (CSHRB). My work at CSHRB focused on the analysis of data from the Women's Health Update, a study of drinking behavior in at-risk emerging adult women.
My thesis work focuses on inferring population-level patterns in genetics (population structure) from seqeuence data. Sequence data has allowed us to examine parts of our genome with little variation (rare variants). While there has been a lot of work on inferring population structure from the parts of our genome with lots of variation, there has been relatively little work on inferring population structure with rare variants.
I graduated from Smith College in 2008 with a B.A. in Mathematics. After Smith, I worked for a year as an associate statistician, then spent two years at the National Institutes of Health (NIH). WHile at the NIH, I worked in the Biostatistics Research Branch of the National Institute of Allergy and Infectious Disease. In September 2011, I left the NIH to start my PhD in biostatistics at the University of Washington, where I am a fifth year student.
Currently, I am the recipient of an NIH Statistical Genetics Training Grant. Previously, I received the NIH Mental Health Training Grant and worked as a research assistant with Dr. Debra Kaysen and Dr. Isaac Rhew at the Center for the Study of Health and Risk Behaviors (CSHRB). My work at CSHRB focused on the analysis of data from the Women's Health Update, a study of drinking behavior in at-risk emerging adult women.
My thesis work focuses on inferring population-level patterns in genetics (population structure) from seqeuence data. Sequence data has allowed us to examine parts of our genome with little variation (rare variants). While there has been a lot of work on inferring population structure from the parts of our genome with lots of variation, there has been relatively little work on inferring population structure with rare variants.