
Tetiana Parshakova
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
Bio
I am interested in developing novel learning algorithms using techniques from optimization and statistics along with theoretical guarantees for these methods.
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