School of Engineering
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Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioI 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.
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a second year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests fall broadly into the intersection of data and modeling. Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance. At Stanford, I am exploring topics including uncertainty quantification, adaptive sampling, graph-informed neural networks, and geophysical modeling.