Nicolas Boulle

A student from Ecole normale superieure de Rennes, he works on computing bifurication diagrams and symmetry-exploiting numerical methods for PDEs. During the summer 2017, he was at the University of Oxford working with Patrick Farrell on this topic. He is now an intern at Cornell University for 2017-2018.

A student from Ecole normale superieure de Rennes, he works on computing bifurication diagrams and symmetry-exploiting numerical methods for PDEs. During the summer 2017, he was at the University of Oxford working with Patrick Farrell on this topic. He is now an intern at Cornell University for 2017-2018.

David Darrow

A MIT PRIMES student at Hopkins School, working on incorporating the poloidal-toroidal decomposition into numerical solvers of advection-dominated incompressible fluid simulations in polar and spherical geometries. He is co-supervised by Grady Wright from Boise State University and is applying for college in Fall 2017.

A MIT PRIMES student at Hopkins School, working on incorporating the poloidal-toroidal decomposition into numerical solvers of advection-dominated incompressible fluid simulations in polar and spherical geometries. He is co-supervised by Grady Wright from Boise State University and is applying for college in Fall 2017.

Dan Fortunato

A graduate student at Harvard in the School of Engineering and Applied Sciences, working on optimal complexity spectral element methods and discontinuous Galerkin methods. He helped build Wolfram Alpha at Mathematica and worked on multigrid methods at Disney. An expert at both symbolic and numerical computing. He is co-supervised by Chris Rycrott.

A graduate student at Harvard in the School of Engineering and Applied Sciences, working on optimal complexity spectral element methods and discontinuous Galerkin methods. He helped build Wolfram Alpha at Mathematica and worked on multigrid methods at Disney. An expert at both symbolic and numerical computing. He is co-supervised by Chris Rycrott.

Marc Gilles

A graduate student at Cornell in the Center of Applied Mathematics, working on continuous analogues of algorithms in linear algebra including the Krylov subspace method for matrices from spectral discretizations of differential equations. Marc has broad interests and also has an ongoing project with Alex Vladimirsky.

A graduate student at Cornell in the Center of Applied Mathematics, working on continuous analogues of algorithms in linear algebra including the Krylov subspace method for matrices from spectral discretizations of differential equations. Marc has broad interests and also has an ongoing project with Alex Vladimirsky.

Andrew Horning

A graduate student at Cornell in the Center of Applied Mathematics, working on the numerical solution of linear and nonlinear differential eigenproblems. He is exploiting the underlying structure of ultraspherical spectral discretizations to develop faster and more accurate eigensolvers. A mathematician at heart with a strong background in physics.

A graduate student at Cornell in the Center of Applied Mathematics, working on the numerical solution of linear and nonlinear differential eigenproblems. He is exploiting the underlying structure of ultraspherical spectral discretizations to develop faster and more accurate eigensolvers. A mathematician at heart with a strong background in physics.

Sujit Rao

An undergraduate student at Cornell University, majoring in Computer Science and Mathematics. He works on numerical algorithms for the solution of multivariate polynomial systems with a particular focus on algorithms based on Groebner, border, and H-bases. In 2017, he achieved a top-200 place in the Putnam exam.

An undergraduate student at Cornell University, majoring in Computer Science and Mathematics. He works on numerical algorithms for the solution of multivariate polynomial systems with a particular focus on algorithms based on Groebner, border, and H-bases. In 2017, he achieved a top-200 place in the Putnam exam.

Elizabeth Wesson

A postdoctoral student at Cornell in the Center of Applied Mathematics, working with Paul Steen and myself on spectral theories of inertial-capillary motions. In particular, we are developing numerical tools for spherical caps to model droplets resting on surfaces. She is an expert on dynamical systems, queueing theory, and how to wait in traffic (see news article).

A postdoctoral student at Cornell in the Center of Applied Mathematics, working with Paul Steen and myself on spectral theories of inertial-capillary motions. In particular, we are developing numerical tools for spherical caps to model droplets resting on surfaces. She is an expert on dynamical systems, queueing theory, and how to wait in traffic (see news article).

Heather Wilber

A graduate student at Cornell in the Center of Applied Mathematics. She works on numerical algorithms for the solution of Sylvester matrix equations with high rank righthand sides. She is also the creator of, and main contributor to, Diskfun. She was awarded a NSF graduate fellowship in 2016, a Diversity fellowship in 2016, and a NASA fellowship in 2015.

A graduate student at Cornell in the Center of Applied Mathematics. She works on numerical algorithms for the solution of Sylvester matrix equations with high rank righthand sides. She is also the creator of, and main contributor to, Diskfun. She was awarded a NSF graduate fellowship in 2016, a Diversity fellowship in 2016, and a NASA fellowship in 2015.

Diego Ruiz

A graduate student at the Universidad de Cantabria, Diego did a summer internship at Cornell in 2016. He worked on a new nonuniform fast Fourier transform that is based on low-rank approximation (see paper here). His work allows for fast(er) rotation of functions defined on the sphere, Chebyshev expansion evaluation, and univariate polynomial rootfinding.

A graduate student at the Universidad de Cantabria, Diego did a summer internship at Cornell in 2016. He worked on a new nonuniform fast Fourier transform that is based on low-rank approximation (see paper here). His work allows for fast(er) rotation of functions defined on the sphere, Chebyshev expansion evaluation, and univariate polynomial rootfinding.

Aaron Yeiser

A MIT PRIMES student in 2016 from Perkiomen highschool working on a spectral element method for meshes with skinny elements. His method exploits the useful properties of the ultraspherical spectral method on singularly perturbed differential equations. His research has already won him a second place at the Regeneron STS, worth $175,000 (see Cornell news). In August he starts at MIT as an undergraduate.

A MIT PRIMES student in 2016 from Perkiomen highschool working on a spectral element method for meshes with skinny elements. His method exploits the useful properties of the ultraspherical spectral method on singularly perturbed differential equations. His research has already won him a second place at the Regeneron STS, worth $175,000 (see Cornell news). In August he starts at MIT as an undergraduate.