Matthew Elkherj

Computer Science and Engineering
University of California, San Diego
9500 Gilman Drive, La Jolla, CA 92092
melkherj { at } ucsd { dot } edu

Research Overview

I am a 3rd year PhD student in Computer Science at University of California, San Diego. My current interests are in analytics databases for large datasets, and machine learning. I am advised by Yoav Freund.

I lean toward the applied side of machine learning and statistics, so I'm focused on a few application domains at a time. The applications I'm currently interested in are smart grid data compression/prediction/anomaly detection, and the analysis of log data for online education.

Research Manuscripts


I double-majored in Mathematics and Computer Science at Dartmouth. For the first few years I did research with Richard Granger in computational neuroscience and robotics, and build a robot simulation system used by a few AI research labs on campus. During my senior year, I worked on algorithms for distributed concurrent locks. This culminated in a thesis, referenced above. My source code on projects I've worked on, see my github profile. For information about industry experience, see my Linkedin page.

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