Rachael Keller bio photo

Rachael Keller

PhD Candidate in Applied Mathematics. Runner. Reader. Gamer (kind of).

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Introduction:

Hello, my name is Rachael Keller, and I am a PhD candidate in Applied Mathematics at Columbia University.

With Professor Qiang Du and the CM3 Research Group at Columbia, I am studying algorithmic fairness in the three machine learning paradigms-- supervised, unsupervised, and reinforcement learning-- with emphasis on the unsupervised setting. In particular, we are looking at how constraints and conditioners may be applied to the general machine learning problem to introduce and ensure some degree of fairness, in some quantitative sense.

I am also leading the Numerical Research Analysis Club, an informal student group of numerics enthusiasts :), at Columbia. For this semester, we are working through Facebook's Introduction to Deep Learning Course using PyTorch. The github we are working through is Udacity's AI Programming suite located here. For more info and group info, please join our google group.

For a couple years, I studied the analytical and numerical spectral theory of periodic Schroedinger operators. Professor Michael Weinstein, collaborators Jeremy Marzuola and Braxton Osting, and I worked in particular on spectral theory associated with 90-degree rotationally invariant operators. Our work was published in SIAM's Multiscale Modeling and Simulations journal here. It is on the arXiv here.

My studies and research are graciously funded by the National Science Foundation (NSF) under the NSF’s Graduate Research Program, and I am a Core Student of the KI-Net Research Network, a society for understanding the problems of numerically simulating dynamical problems.

For my undergraduate studies, I learned and grew at Louisiana State University with the Department of Mathematics and the Robert Ogden Honors College under the particular care of Professor Oliver Dasbach and Professor Susanne Brenner (thank you, if you’re reading this). I am a runner for the Dashing Whippets in New York City~

Blurb: Last year I ran the 2017 TCS New York City Marathon okay-ly well (2:47:35– 29th overall female and 11th USA female, injured. ;)). A brief race recap and my training are located here.

Misc. Interests:

  • Running
  • Politics
  • Metrics
  • Games

R.I.P. Maryam Mirzakhani, one of the strongest figures in mathematics today. In 2014, she was awarded the Field’s Medal, Math’s Nobel Prize, the first (and only, thus far) woman to win it. Hoped to attend one of her seminars..breast cancer. Cancer. We again lose such a strong person to cancer.

“Maryam Mirzakhani’s Pioneering Mathematical Legacy” - The New Yorker


Disclaimer: Everything written on this site is a statement of my own and in no way associated with or reflective of Columbia University, the NSF, KI-Net, LSU, or the Dashing Whippets.