Steven Goldenberg
Computer Science PhD Candidate
McGlothlin Street Hall
Williamsburg, VA 23185
sgoldenberg @ wm.edu
About Me:
I am a 5th year PhD student at William & Mary focusing on scientific computing. My interests include large sparse matrix algorithms, scalable and robust software, and data mining, but I am always open to broadening my horizons. Currently, I am researching improvements for the PRIMME software package with my advisor Andreas Stathopoulos, including development of new iterative methods for the SVD based on the Golub-Kahan and Generalized Davidson methods.
As a graduate student, I have taken courses focusing on Algorithms, Complexity Theory, Numerical Analysis, Computer Architecture, Distributed Systems, and Big Data among others.
Coding Experience:
MATLAB
C
C++
Python
Java
R
Research
A Golub--Kahan Davidson Method for Accurately Computing a Few Singular Triplets of Large Sparse Matrices
Steven Goldenberg, Andreas Stathopoulos, and Eloy Romero
SIAM Journal on Scientific Computing
https://doi.org/10.1137/18M1222004
Correlations between Panoramic Imagery and Gamma-Ray Background in an Urban Area
M. S. Bandstra, B. J. Quiter, M. Salathe, K. J. Bilton, J. C. Curtis, S. Goldenberg, T. H. Y. Joshi
IEEE Transactions on Nuclear Science (TNS)
https://doi.org/10.1109/TNS.2021.3128472
Software
GKD: SVD Code
Work Experience
Research Assistant
Aug 2017 - Current
Working with Professor Andreas Stathopoulos on new iterative SVD algorithms
Teaching Fellow
Jan 2020 - May 2020
Taught CSCI 141 -- Computational Problem Solving at William & Mary
Intern
Jun 2018 - Aug 2018
Worked at Lawrence Berkeley National Lab with the Scientific Data Management Group
- Collaborated with Mark Bandstra on panoramic image segmentation
- "Correlations between Panoramic Imagery and Gamma-Ray Background in an Urban Area" accepted for oral presentation at 2019 IEEE NSS-MIC
Technical Support
May 2016 - Dec 2017
Working for the Computer Science Department at William & Mary
Graduate Assistant
Aug 2015 - May 2016
Grading for CSCI 303 -- Algorithms at William & Mary
Education
Doctor of Philosophy: Computer Science
William & Mary -- Williamsburg, VA
2015 - Current
- Worked with Andreas Stathopoulos
- Winner of the 2018 Copper Mountain Student Paper Competition
- Presented or will present work at the following conferences:
- Copper Mountain Conference on Iterative Methods (Mar. 2018)
- SIAM Annual Meeting (July 2018)
- SIAM Parallel Processing (Feb. 2020)
- SIAM Applied Linear Algebra (May 2021)
Master of Science: Computer Science
William & Mary -- Williamsburg, VA
2015 - 2017
- Zable Fellow
- 4.0 GPA
- Coursework focused on Algorithms, Complexity Theory, and Numerical Analysis
Non-Degree: Computer Science
George Mason University -- Fairfax, VA
2014 - 2015
- 4.0 GPA
- Coursework in Databases, Distributed Computing and Computer Organization
Bachelor of Arts: Mathematics
Johns Hopkins University -- Baltimore, MD
2010 - 2014
- Graduated with General Honors from the Double Degree Program with the Peabody Institute
- 3.79 Combined GPA
- Dean's List
Bachelor of Music: Viola Performance
The Peabody Institute -- Baltimore, MD
2010 - 2014
- Recipient of the Azalia H. Thomas Award for Excellence in Music Theory
- Performed as Principal Violist in numerous ensembles including:
- Peabody Concert Orchestra
- Peabody Conductors Orchestra
- The Occasional Symphony