Colloquium Details
Computational Challenges in Discovering the Genetic Variants Involved in Human Disease
Speaker: Eleazar Eskin, University of California, Los Angeles
Location: Online
Date: December 17, 2021, 10:30 a.m.
Host:
Synopsis:
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Variation in human DNA sequences account for a significant amount of
genetic risk factors for common disease such as hypertension,
diabetes, Alzheimer's disease, and cancer. Identifying the human
sequence variation that makes up the genetic basis of common disease
will have a tremendous impact on medicine in many ways. Recent
efforts to identify these genetic factors through very large scale
association studies which compare information on variation between a
set of healthy and diseased individuals have been remarkably
successful. However, despite the success of these studies, many
challenges and open questions remain on how to analyze large scale
genetic studies. In this talk, I will discuss a few of the
computational and statistical challenges in the design and analysis of
genetic studies.
Speaker Bio:
Dr. Eleazar Eskin serves as the inaugural chair for the UCLA
Department of Computational Medicine. Fascinated by the intersection
of computer science and biology, Dr. Eskin is researching and
developing computational methods for the analysis of genetic
variations in human disease. He received his PhD in computer science
from Columbia University. A recipient of the Alfred P. Sloan
Foundation Research Fellowship, Dr. Eskin’s work is supported by the
National Science Foundation and the National Institutes of Health.
Notes:
In-person attendance only available to those with active NYU ID cards.