Eric Chu - Head Of Data Science And Engineering

Eric Chu

Head Of Data Science And Engineering

San Jose, California, United States

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Summary

👤

Senior

🎓

Top School

Eric Chu is Head of Data Science and Engineering at Zoox with 15 years of experience applying mathematical optimization, ML, and large-scale data systems to real-world autonomy problems. A Stanford PhD in mathematical optimization, he bridges deep theory and production: he’s contributed examples to the widely used CVXPY library and core Python bindings for the ECOS conic solver, showing hands-on expertise in convex and non-convex problem solving. He builds and leads teams that tackle open-ended technical challenges—from motion planning to image reconstruction—turning research-grade algorithms into robust, maintainable code. Based in San Jose, he combines academic rigor with pragmatic engineering judgment, often surfacing surprising practical uses of advanced optimization in product features.

15 years of coding experience

International Bilingual School at Hsinchu-Science-Park

BS, BS at Stanford University

English, Chinese

Github Skills (18)

sparse-array10

python10

sparse-matrix10

cvxpy10

convex-optimization10

c1110

sparse-file10

numpy10

c1710

mathematical-optimization10

lang10

numerical-optimization10

linear-algebra10

modeling10

optimization10

Programming languages (5)

C++CJavaScriptGoPython

Github contributions (5)

embotech/ecos

Apr 2013 - Nov 2018

A lightweight conic solver for second-order cone programming.

Role in this project:

Back-end Developer

Contributions:222 commits, 13 PRs, 31 pushes in 5 years 8 months

Contributions summary:Eric primarily worked on the Python code base, implementing and modifying features related to the conic solver. The commits show significant changes within the `pdosmodule.c` and `ecosmodule.c` files, which appear to be involved in the core solving functionality, data handling, and interfacing with NumPy arrays. The user also added a test interface and updated the build process to improve overall code quality and maintainability.

conicsecond-ordercone-programmingsatsolver

cvxpy/cvxpy

Aug 2013 - Mar 2014

A Python-embedded modeling language for convex optimization problems.

Role in this project:

Data Scientist

Contributions:34 commits, 15 comments, 3 issues in 7 months

Contributions summary:Eric contributed to the development of examples for the cvxpy library, focusing on optimization problems. Contributions include implementing a stock tradeoff example utilizing optimization techniques, adding an image processing example involving gradient calculations and image reconstruction, and creating a branch and bound example for non-convex optimization. The user also added a Sudoku solver example, further demonstrating the application of convex optimization principles.

pythonconvex-optimizationproblemsoptimizationconvex

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