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Ph.D. Student

Tetiana Parshakova

Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
I am a Ph.D. candidate in Computational Mathematics at Stanford, working with Prof. Stephen Boyd.

My primary research objective is to develop efficient algorithms for computational problems using techniques from optimization, discrete mathematics, and statistics. In particular, my research interests include large-scale and distributed convex optimization, network science, learning and inference for network data, numerical and randomized linear algebra, low rank and structured optimization, and machine learning.

Prior to my Ph.D., I received a Bachelor’s in Industrial Design and a Master’s in Electrical Engineering at KAIST.

I am Ukrainian.

Education

MS, Korea Advanced Institute of Science and Technology, Electrical Engineering (2019)
BS, Korea Advanced Institute of Science and Technology, Industrial Design (2017)