Jeremy M. Myers

Jeremy M. Myers

PhD Candidate | Grad R&D Intern

College of William and Mary

Sandia National Laboratories

Education

 
 
 
 
 
Ph.D. Computer Science
College of William and Mary
Aug 2017 – Present Williamsburg, VA
Computational Science specialization
 
 
 
 
 
M.S. Mathematical Sciences
Virginia Commonwealth University
Aug 2015 – Aug 2017 Richmond, VA
Applied Mathematics concentration
 
 
 
 
 
B.S. Mathematical Sciences
Virginia Commonwealth University
Jan 2013 – Dec 2014 Richmond, VA
Applied Mathematics concentration
 
 
 
 
 
B.A. Interational Affairs
James Madison University
Aug 2005 – May 2009 Harrisonburg, VA
Russian Area Studies concentration, Russian studies minor, Economics minor

Experience

 
 
 
 
 
R&D Intern, Scalable Modeling & Analysis
Sandia National Laboratories
Jun 2019 – Present California
Researching algorithms and software for sparse tensor canonical polyadic decomposition.
 
 
 
 
 
Research Assistant
College of William & Mary
Sep 2019 – Present Williamsburg, VA
Researching sketching and streaming algorithms for singular value computations.
 
 
 
 
 
Teaching Assistant
College of William & Mary
Aug 2017 – May 2019 Williamsburg, VA
 
 
 
 
 
Teaching Assistant
Virginia Commonwealth University
Aug 2015 – May 2017 Richmond, VA

Recent Publications

(2020). Load balancing strategy of parallel performance portable sparse CP-APR decomposition. 19th SIAM Conference on Parallel Processing for Scientific Computing.

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(2018). Using the power of iterative methods for the SVD in machine learning. Numerical Analysis and Scientific Computation with Applications.

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(2018). Does machine learning need the power of iterative methods for the SVD?. 15th Copper Mountain Conference on Iterative Methods.

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About

I am a 6th year Ph.D Candidate under the supervision of Dr. Andreas Stathopoulos in the Computer Science Department at the College of William and Mary. Since 2019, I have also conducted doctoral research under the supervision of Dr. Daniel Dunlavy at Sandia National Laboratories in Albuquerque, NM, and Livermore, CA. My work lies at the intersection of numerical linear algebra, machine learning, data science, and high performance computing. Specifically, my research focuses on streaming/sketching spectral decompositions and tensor decompositions. Most recently, my research has appeared in IEEE HPEC20 & IEEE HPEC21. I received a B.S. and a M.S. in Mathematical Sciences from Virginia Commonwealth University in Richmond, VA, in 2014 and 2017, respectively, and a B.A. in International Affairs from James Madison University in Harrisonburg, VA, in 2009.

I enjoy trail running, gravel cycling, loud music, German and Russian languages, and South American food. I live in the Portland, OR area with my wife and our two dogs..

Specialties: Tensors, mentorship, matrix sketching

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