
Tetiana Parshakova
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
Bio
I am a Ph.D. candidate in Computational Mathematics at Stanford, working with Prof. Stephen Boyd. Before that I received Bachelor’s in Industrial Design and Master’s in Electrical Engineering at KAIST in South Korea.
My primary research objective is to develop efficient algorithms for computational problems using techniques from optimization, discrete mathematics and statistics, to analyze and to bring theoretical guarantees about these methods.
I am Ukrainian.
Honors & Awards
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Oliger Memorial Fellowship, Stanford ICME (2019-2022)
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Qualcomm-KAIST Innovation Awards, Qualcomm (2016, 2018)
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SIGGRAPH 2016 Emerging Technologies DC EXPO Special Prize, SIGGRAPH (2016)
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International Scholarship, Korea Advanced Institute of Science and Technology (2012-2016, 2017-2019)
Education & Certifications
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MS, Korea Advanced Institute of Science and Technology, Electrical Engineering (2019)
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BS, Korea Advanced Institute of Science and Technology, Industrial Design (2017)
Work Experience
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ML Research intern, Apple Inc. (6/2020 - 9/2020)
Accelerating the training of Neural Networks using Hessian-vector products
Location
california
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ML Researcher, NAVER Labs Europe (3/2019 - 7/2019)
Location
France