Raphael Arkady Meyer

I am a \(2^{nd}\) year Ph.D. Student at NYU Tandon School of Engineering, advised by Prof. Christopher Musco and part of the Algorithms and Foundations Group.

I research the interplay of theoretical statistics and computation, largely through the lens of linear algebra.

Links: Google Scholar, dblp, Github, Zoom Room, NYU Tandon

My recent publications have looked at:

Of course, I am interested in problems beyond these areas, and if you want to work with me on a problem, send me an email: \(ram900@nyu.edu\)


  1. Hutch++: Optimal Stochastic Trace Estimation[1]

    with Cameron Musco, Christopher Musco, David P. Woodruff

    at Symposium on Simplicity in Algorithms (SOSA 2021)

  2. The Statistical Cost of Robust Kernel Hyperparameter Turning

    with Christopher Musco

    at Advances in Neural Information Processing Systems (NeurIPS 2020)

  3. Optimality Implies Kernel Sum Classifiers are Statistically Efficient

    with Jean Honorio

    at International Conference on Machine Learning (ICML 2019)

  4. Characterizing Optimal Security and Round-Complexity for Secure OR Evaluation

    with Amisha Jhanji, Hemanta K. Maji

    at IEEE International Symposium on Information Theory (ISIT 2017)

[1] Code available on github


I really enjoy teaching, and have been a TA for a few courses now: