I am a postdoctoral scientist at Amazon working with Garrett van Ryzin. I am also visiting van Dijk Lab at Yale.

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.

I received my Ph.D. in Computational Mathematics at Stanford, where I was fortunate to be advised by Stephen Boyd. Prior to my Ph.D., I obtained Bachelor’s in Industrial Design and Master’s in Electrical Engineering at KAIST.

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