Kexin Rong

I am starting as an Assistant Professor in the School of Computer Science at Georgia Tech in Fall 2022. I am actively looking for master and PhD students. Please reach out if you are interested in working with me!

I am currently a Postdoctoral Researcher in the VMware Research Group. I received my PhD in CS from Stanford, where I was fortunate to be co-advised by Peter Bailis and Philip Levis. My dissertation investigates systems and algorithms to improve the computational and human efficiency of large-scale data analytics, supporting applications such as earthquake detection, infrastructure monitoring, and OLAP queries on big-data clusters.

Previously, I received my bachelor's degree in Computer Science from Caltech (2015). I've also spend time at the DMX group at Microsoft Research in Redmond (2019).

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A system that leverages summary statistics to select weighted, partition-level samples to approximate analytical queries on big-data clusters.

LSH-based sketching and importance sampling algorithms to accelerate kernel evaluation in high dimensions.

An unsupervised, end-to-end earthquake detection pipeline based on pairwise similarity search on seismic waveforms.

An automatic smoothing algorithm for time series visualization that removes short-term fluctuations while preserving large-scale deviations.

A data analytics engine that highlights and aggregates important and unusual behavior in high-volume fast data streams.

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