Sen Na

Assistant Professor In ISyE at Georgia Institute of Technology

Atlanta, Georgia, United States
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Summary

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Sen Na is an Assistant Professor in Industrial and Systems Engineering at Georgia Tech with nine years of research experience spanning high-dimensional statistics, graphical and semiparametric models, optimal control, and large-scale stochastic nonlinear optimization. He earned a Ph.D. in statistics from the University of Chicago and completed a postdoc at UC Berkeley/ICSI, where he worked on mathematically grounding scalable data-science methods under Michael Mahoney. His work bridges theory and practice—developing convergence guarantees for online model predictive control and sensitivity analyses for long-horizon nonlinear programming, with implementations in Julia/JuMP. Sen’s interests extend to applying machine learning in biology and neuroscience, and his background in mathematics from Nanjing University underpins a strong emphasis on rigorous, scalable algorithms.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science - BS, Mathematics, 3.9/4.0, Bachelor of Science - BS, Mathematics, 3.9/4.0 at Nanjing University
bookDoctor of Philosophy (PhD), Statistics, 4.0/4.0, Doctor of Philosophy (PhD), Statistics, 4.0/4.0 at The University of Chicago
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Stackoverflow

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Github Skills (6)

optimization5
julia5
constrained-optimization3
testing2
numerical-optimization2
react1

Programming languages (4)

JuliaTeXPythonFortran

Github contributions (5)

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Contributions:8 commits, 7 pushes, 1 branch in 5 months
senna1128/Resume

Jul 2020 - May 2022

Contributions:5 pushes, 1 branch in 1 year 10 months
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Sen Na - Assistant Professor In ISyE at Georgia Institute of Technology