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,
• machine learning.

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

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