Michela Meister

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meister [at] cs.cornell.edu

 

I’m a second year PhD student in computer science at Cornell, where I am extremely fortunate to be advised by Jon Kleinberg. My main interests are in algorithms, network science, and machine learning. I am supported by an NDSEG fellowship.

Prior to coming to Cornell, I spent the 2018-2019 academic year at Google Research in the Discrete Algorithms Group. I hold a joint BS/MS degree in computer science from Stanford, where I was lucky to work with Greg Valiant.

publications

Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Michela Meister, Tamás Sarlós, and David P. Woodruff
Advances in Neural Information Processing Systems (NeurIPS) 2019
[pdf]

A Data Prism: Semi-verified learning in the small-alpha regime
Michela Meister and Gregory Valiant
Conference on Learning Theory (COLT) 2018
[pdf][video]

teaching

I served as a teaching assistant for the following Stanford courses: