I am a math PhD candidate at UC Berkeley interested in the intersection of mathematics and computer science theory. I've worked on projects related to real stable polynomials, hyperbolic programming, finite differential convolutions, the exponent of matrix multiplication and random projections.

I am advised by Nikhil Srivastava.

- Generalizations of the matching polynomial to the multivariate independence polynomial
- Exponential lower bounds on spectrahedral representations of hyperbolicity cones
- Real stability testing
- Connecting the q−Multiplicative Convolution and the Finite Difference Convolution
- The geometry of rank decompositions of matrix multiplication ii: 3 x 3 matrices
- On the geometry of border rank algorithms for nx2 by 2x2 matrices

- Developments with b-additive and q-multiplicative finite free convolutions
- Real Stability Testing
- A History of Spectral Graph Theory and its Applications

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Jonathan Leake and Nick Ryder

Algebraic Combinatorics 2019, To Appear.

Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, and Benjamin Weitz

SODA 2019, To Appear.

Prasad Raghavendra, Nick Ryder, and Nikhil Srivastava

ITCS 2017

Jonathan Leake and Nick Ryder

Preprint, 2017.

Grey Ballard, Christian Ikenmeyer, JM Landsberg, and Nick Ryder

Journal of Pure and Applied Algebra 2019, To Appear.

Nick Ryder and JM Landsberg

Experimental Mathematics 2016

P. Li, N. Ryder, R. Strichartz, and B. Ugurcan

UCLA IPAM:QALWS1 2018

ITCS 2017

GraphXD: Graphs Across Domains