Ryan Schneider
Scholar

Ryan Schneider

Google Scholar ID: jnFveX8AAAAJ
University of California Berkeley
Numerical Linear AlgebraScientific ComputingRandom Matrices
Citations & Impact
All-time
Citations
22
 
H-index
3
 
i10-index
0
 
Publications
9
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including preprints and journal articles, on topics such as minimizing the arithmetic and communication complexity of Jacobi's method for eigenvalues and singular values, and structured divide-and-conquer for the definite generalized eigenvalue problem.
Research Experience
  • Was a Measurement Science and Engineering Fellow in the Applied and Computational Math Division of NIST, working primarily with Barry Schneider; now an NSF Postdoc in the math department at UC Berkeley, mentored by James Demmel.
Education
  • Completed a B.A. in mathematics at Washington University in St. Louis in 2018; then completed a Ph.D. in mathematics at UC San Diego, where his advisor was Ioana Dumitriu.
Background
  • Research interests include numerical analysis, (randomized) numerical linear algebra, and scientific computing. Currently an NSF Postdoc in the math department at UC Berkeley.
Miscellany
  • Preferred pronouns are he/him; CV is available online.