# David Bindel

## Associate Professor of

Computer Science

CS,
applied math,
math,
civil engineering, and
CSE.

Confusing rabbits since 2003.

425 Gates Hall

Dept of Computer Science

Cornell University

Ithaca, NY 14853-5169

OH: By appointment

Scheduler link

bindel@cs.cornell.edu

607-255-5395

## Research highlights

#### Optimizing stellarators

Advancing magnetic confinement fusion through optimization and hidden symmetries.

#### Spectral network analysis

Fast spectral tools for graph structure.

#### Nonlinear eigenvalue bounds

Generalizing classic eigenvalue localization results (e.g. Gershgorin).

#### Kernel methods

Theory and scalable algorithms for kernel-based function approximation.

#### Parallel surrogate optimization

Asynchronous parallel algorithms for finding minima fast by fitting functions to surrogate models.

## Upcoming travels

**2019-09-27:**
Research in the Cloud Symposium, Weill Cornell

**2019-10-24:**
Visit to Western Michigan U

**2019-12-11:**
SIAM Conference on Analysis of PDEs

## Teaching highlights

#### Numerical Methods for Data Science

Revisiting numerical methods teaching for modern data science applications.

#### Cornell University Scientific SW

Building a community of practice for scientific computing at Cornell.

## Currently teaching

#### Matrix Computations (CS 6210)

MWF 11:10-12:05, location TBD

Numerical linear algebra. Basic theory, efficient algorithms, and enough error analysis to avoid numerical embarrassment (we hope)! Direct and iterative methods for linear systems, least squares, and eigenvalues.

#### SCAN Seminar (CS/MATH 7290)

Ongoing. M 1:25-2:15, Gates 406.

The Scientific Computing and Numerics seminar series focuses on various methods in scientific computing, the analysis of convergence properties and computational efficiency, and their adaptation to specific applications.

#### Projects (CS [45]999)

See my list of projects!

If nothing on the list appeals but you think you’d like to work with me on something, come knock on my door. I don’t bite.