We develop quantitative and computational methods and tools to sift through the vast amounts of genomic and other high dimensional data with the goal of making discoveries that can be translated to improve human health.
After the last formal GTEx analysis working group’s internal meeting at Rockville, MD, the Im Lab went for dinner with Nancy Cox, Barbara Stranger, and Eric Gamazon. From left to right: Rodrigo, Milton, Jiamao, Barbara, Nancy, Eric, Haky, Scott, and Alvaro. Great French dishes with Asian influence.
Thu, Oct 19, 2017, Data Sharing, Analysis, and Tools to Catalyze Translation from Genomic to Clinical Knowledge
Fri, Oct 13, 2017, World Congress of Psychiatric Genetics - Education Day – Spanish Track
Sat, Sep 9, 2017, Big Data Analytics for Genetics in Personalised Medicine (Joint IGES/GCD Symposium)
Sun, Jul 30, 2017, The path from big data to precision medicine is paved with statistics - JSM
Mon, Jun 26, 2017,
Fri, Jun 9, 2017, Symposium on Advances in Genomics, Epidemiology, and Statistics (SAGES)
Thu, Jun 8, 2017, Visiting GSK’s Genetics Group
Sun, Mar 26, 2017, Statistical and Computational Challenges in Large Scale Molecular Biology
Database of Prediction models to be used with PrediXcan
Hae Kyung Im, PhD - Bio
Jiamao Zheng, PhD
Scott Dickinson, MS
Alvaro Barbeira, MS
Milton Pividori, PhD
Rodrigo Bonazzola, MS
Hae Kyung Im is a statistician who is passionate about using quantitative and computational methods to uncover hidden patterns in data, which can be translated to benefit people. After trying out physics, manufacturing, information security, and finance, she found a home in academia in the intersection of statistics, genomics, medicine, and big data analytics.
PhD in Statistics, 2005
The University of Chicago
MS in Financial Mathematics, 2000
The University of Chicago
BS/MS Physics, 1993
Instituto Balseiro