Alex Gittens
Associate Professor
City of Troy, New York, United States
Summary
👤
Senior🎓
Top SchoolAlex Gittens is an associate professor and computational mathematician with nine years of research-focused experience extracting signal from high-dimensional data using probabilistic and functional-analytic tools. He transitioned from industry research roles at eBay Research Labs and ICSI—where he built scalable linear-algebra and ML primitives for Spark and supercomputers—into academia, now leading work at Rensselaer Polytechnic Institute. His expertise spans randomized kernel methods, streaming feature selection, and practical implementations of large-scale algorithms that bridge theory and production. Trained with a PhD in Applied and Computational Mathematics from Caltech, he combines deep mathematical foundations with hands-on systems work across HPC and distributed data platforms. Colleagues value his ability to translate abstract statistical ideas into efficient, deployable algorithms for real-world data problems. An implicit throughline of his career is applying randomized linear-algebra techniques to make complex models tractable at scale.
8 years of coding experience
11 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at University of HoustonPhD, Applied and Computational Mathematics, PhD, Applied and Computational Mathematics at California Institute of Technology
Github Skills (7)
react6
big-data1
apache-spark1
mpi1
apache1
spark1
scala1
Programming languages (2)
Github contributions (5)
jey/alchemist
May 2017 - Mar 2018
Contributions:65 commits in 9 months
gittea-rpi/realML
Sep 2017 - Mar 2022
Contributions:100 commits, 63 pushes, 1 branch in 4 years 6 months
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