 
            David Bindel
Professor, Computer Science
Director, Center for Applied Math
Editor, NA Digest
                CS,
                applied math,
                math,
                operations research,
                statistics,
                civil engineering, 
                CSE,
                and 
                data science.
                Confusing rabbits since 2003.
                Short bio.
                Notes if you want to work with me,
                (including as a PhD applicant).
                Note re SCAMS
              
                487 CIS Building
                Dept of Computer Science
                Cornell University
                Ithaca, NY 14853-5169
                (or Zoom)
              
                OH: W 9-10, Fri 10:30-12, or by appointment
                Bookings page
                bindel@cornell.edu
                Office phone: 607-255-5395
                
              
Research highlights
 
            
            Optimizing stellarators
Advancing magnetic confinement fusion through optimization and hidden symmetries.
 
            
            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.
 
            
            Spectral network analysis
Fast spectral tools for graph structure.
Currently teaching
 
            
            Matrix Computations (CS 6210)
MW 10:10-11:25 in Gates 114 (or Zoom).
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.
 
            
            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.
Upcoming travels
2026-02-15: Dagstuhl on Reduced and Mixed Precision Computing
2026-03-19: Hidden Symmetries Annual Meeting
