Eric Chi
Associate Professor
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolEric Chi is an associate professor with 14 years of research and teaching experience, currently advancing data science and statistics at the University of Minnesota. His work specializes in developing robust estimation and inference algorithms for high-dimensional, small-sample problems, with strengths in optimization, multilinear algebra, and parallel computing. His research spans bioinformatics and scientific computing, and he applies a practical toolkit across Matlab, R, C, and Fortran to build scalable, reproducible methods. He has held faculty roles at Rice University and North Carolina State University, and has completed postdoctoral research at UCLA and Rice, with additional visiting fellowships at Sandia and Berkeley, reflecting a broad national and research lab footprint. His background combines a BA in Physics from Rice, an MS in Electrical Engineering and Computer Science from UC Berkeley, and a PhD in Statistics from Rice, enabling a hybrid view of theory and application. Based in Minneapolis, he brings a track record of delivering rigorous solutions that translate complex, high-dimensional data into actionable insights.
15 years of coding experience
16 years of employment as a software developer
M.S., Electrical Engineering and Computer Science, M.S., Electrical Engineering and Computer Science at University of California, BerkeleyPhD, Statistics, PhD, Statistics at Rice University
Stackoverflow
1reputation
0reached
0answers
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Github contributions (5)
echi/ConvexCluster
Oct 2012 - Jun 2013
Contributions:46 commits in 7 months
echi/cvxclustr
Apr 2013 - Jul 2014
Contributions:36 commits in 1 year 2 months
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