Jaclyn Eissman
Associate Research Scientist @Columbia University Irving Medical Center
Signup · Get unlimited contacts
WORK HISTORY
Associate Research Scientist @Columbia University Irving Medical Center
New York, NY, US
Built, implemented, and published a QC pipeline for whole-genome-sequencing prepared for HPC/cloud computing environments Curated and evaluated statistical pipelines for identifying genetic regulators (7M) of a variety of plasma measures, including circulating metabolites (7k), gene expression (2k), and methylation (16M sites) levels Built and evaluated epigenetic clocks of aging, telomere length, and mitochondrial DNA copy number in relation to Alzheimer’s risk Integrated genetics and multi-omics data from both self-curated statistical analyses and public databases to identify and validate molecular drivers of Alzheimer’s disease and related disorders Consulted as statistical expert to validate findings for molecular immunologists, including building, executing, and reporting on results of repeated measures models (GEE) for time-series data
EDUCATION
Vanderbilt University
Bachelor of Science - BS, Neuroscience; Cognitive Studies
Vanderbilt University
Doctor of Philosophy - PhD, Human Genetics (computational/statistical focus)
Glenbrook North High School
High School Diploma
ABOUT JACLYN EISSMAN
I am a computational scientist with 6+ years of experience at intersection of statistical genetics, integrative multi-omics, and machine learning. I obtained both my Bachelor\'s degree and Ph.D. at Vanderbilt University, the former in Neuroscience and the latter in Human Genetics, focused on computational and statistical genetics. My doctoral work at the Vanderbilt Memory & Alzheimer\'s Center involved designing, performing, and analyzing large-scale analyses to identify genetic drivers of risk and resilience in Alzheimer\'s disease, particularly through a sex-specific lens. Currently, my work as an Associate Research Scientist at the Taub Institute focuses on integrative multi-omics pipeline development and biological analysis to identify molecular drivers of aging and Alzheimer\'s disease.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.