Eric Chi
Associate Professor
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolEric Chi is an associate professor and applied statistician with 15 years of experience developing algorithms for model estimation and inference in high-dimensional, low-sample-size settings. His work spans robust estimation, optimization, multilinear algebra, and parallel scientific computing, with fluency in Matlab, R, C, and Fortran and applications in bioinformatics. He has held faculty and research positions at Rice, NC State, UCLA, and national labs, and now leads research at the University of Minnesota focused on scalable, numerically stable methods. Known for bridging theory and practice, he translates advanced statistical ideas into high-performance code for real-world scientific problems. A physicist by training who also holds an M.S. in EECS, he brings a cross-disciplinary perspective that informs computationally efficient solutions.
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
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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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