Jeremy Kozdon Email & Phone Number
@nps.edu
1 phone found area 408
LinkedIn matched
Who is Jeremy Kozdon? Overview
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Jeremy Kozdon is listed as Principal Developer Technology Engineer at NVIDIA, a with 41500 employees, based in Monterey, California, United States. AeroLeads shows a work email signal at nps.edu, phone signal with area code 408, and a matched LinkedIn profile for Jeremy Kozdon.
Jeremy Kozdon previously worked as Staff HPC Applications Engineer at Nextsilicon and HPC Applications Engineer at Nextsilicon. Jeremy Kozdon holds Phd, Computational And Mathematical Engineering from Stanford University.
Email format at NVIDIA
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AeroLeads found 1 current-domain work email signal for Jeremy Kozdon. Compare company email patterns before reaching out.
About Jeremy Kozdon
Computational scientist with experience in algorithmic development, numerical analysis, high performance computing, applications analysis, and life long learner.Specialties: numerical analysis; numerical PDEs; collaborative research; team problem solving; computational science; HPC; parallel programmingProgramming Experience: C; C++; Fortran; Julia; Matlab; OpenMP; CUDA
Listed skills include Numerical Analysis, Fortran, Scientific Computing, Algorithms, and 21 others.
Jeremy Kozdon's current company
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Jeremy Kozdon work experience
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Staff Hpc Applications Engineer
As a Staff HPC Applications Engineer, I specialize in optimizing application performance and forecasting future computational needs. I lead technical efforts in business development, providing strategic direction and mentorship to junior engineers. I also offer expert technical guidance for customer engagements.
Hpc Applications Engineer
As an HPC Application Engineer, I worked on profiling and optimization applications for NextSilicon's accelerator. I also regularly engaged with customer meetings and training sessions.
Associate Professor Of Applied Mathematics
Assistant Professor Of Applied Mathematics
I taught courses ranging from introductory calculus to high-performance computing. I researched finite difference and discontinuous Galerkin Finite Element methods for earthquake dynamics, climate modeling, and weather prediction. I implemented research findings on multi-CPU and multi-GPU machines, demonstrating versatility and adaptability across different hardware architectures.
Nsf Fellow For Transformative Computational Science Using Cyberinfrastructure (Ci Tracs)
Development of numerical method for computational seismology problems, particularly earthquake simulations. Specializing in treatment of boundary and interface conditions with high-order finite difference methods. Also developing a new software framework based on modern Fortran and object oriented design principles.
Geophysics Postdoctoral Scholar
Developing advanced computational techniques for earthquake rupture simulation. Areas of research: high-order finite difference methods, wave propagation, adaptive mesh refinement, nonlinear boundary conditions, finite volume methods.
Course Instructor (Computational And Mathematical Engineering)
Instructor for Introduction to Scientific Computing. An advanced undergraduate/introductory grad class.Bulletin Description:Numerical computation for mathematical, computational, and physical sciences and engineering: numerical solution of systems of algebraic equations, least squares, quadrature, minimization of a function, banded matrices, nonlinear equations, numerical solution of ordinary and partial differential equations; truncation error, numerical stability for time dependent problems, stiffness, boundary value problems.
Research Associate (Energy Resources Engineering)
Analyzing the monotonicity of the Flux-conservative Asynchronous Time Integration methodExtended the method to problems involving more complex physics
Ph.D. Student (Computational And Mathematical Engineering)
Graduate student studying computational and mathematical engineering. Focus numerical methods for PDEs (mainly hyperbolic) with applications in subsurface problems.Applied fundamental numerical analysis techniques coupled with physical understanding to develop reliable simulation techniques for enhanced oil recoveryExamined the phenomena of grid orientation in petroleum engineering from a practical and mathematical viewpointDeveloped an extended well model technique to lessen the impact of perturbations for unstable reservoir flow problemsDeveloped hyperbolic transport techniques which are robust for scalar and multi-phase flow problems, particularly truly multi upwind biased method conservative finite volume and finite difference methodsDeveloped robust, relaxed volume coupling between discretized hyperbolic transport and elliptic flow equationsComputational Consulting:Participated in collaborative research meetings for problems submitted by Stanford and industrial researchersFounding member of center for Computational Approaches to Digital Stewardship (a collaboration between Stanford University and the Library of Congress)Participated in several meetings to help scope out design and implementation of the world digital libraryPerformed clustering analysis on library of congress subject headingsMade presentations to library leaders and staff
Professional Intern
Worked with Reservoir Simulation Research on numerical methods for transport.
Professional Intern
Worked with the reservoir simulation research team lead by Dr. Wen Chen, working directly with Dr. Brad Mallison.Scoped out frameworks and approaches to multi-D upwindingInteracted with team members to understand the needs of industry, which must be balanced with numerical analysis concernsMuch of my work at Chevron has been done in collaboration with my doctoral.
Research Associate
Developed and evaluated methods for simulating large systems of biochemical networks that arise in cellular signalingInvolved the development of new ODE integration methods for large sets of stiff equations
Undergraduate Research Intern
Implemented Bayesian analysis techniques for x-ray absorption dataExtended the method for use with the near edge region
Undergraduate Research Intern
Developed new representation for cell signaling cascades which included the combinatorial complexity inherent to biological cells.
Colleagues at NVIDIA
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Sushma Swaraj Ollala
Colleague at NvidiaHyderabad, Telangana, India
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Muppana Mourrya
Colleague at NvidiaBengaluru, Karnataka, India
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Gohar Abajyan
Colleague at NvidiaYerevan, Armenia
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Ravi Chandra Moturi
Colleague at NvidiaBengaluru, Karnataka, India
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Lark Gordon
Colleague at NvidiaRaleigh-Durham-Chapel Hill Area, United States
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Yung Hsuan Chou
Colleague at NvidiaCampbell, California, United States
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Stephan Pleines
Colleague at NvidiaSan Mateo, California, United States
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Shreyas Misra
Colleague at NvidiaSan Francisco Bay Area, United States
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Nicholas Wissler
Colleague at NvidiaMclean, Virginia, United States
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Kathirgamar (Aings) Aingaran
Colleague at NvidiaSan Jose, California, United States
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Jeremy Kozdon education
Phd, Computational And Mathematical Engineering
M.S, Computational And Mathematical Engineering
Bs, Physics And Computer Science
Education record
Frequently asked questions about Jeremy Kozdon
Quick answers generated from the profile data available on this page.
What company does Jeremy Kozdon work for?
Jeremy Kozdon works for NVIDIA.
What is Jeremy Kozdon's role at NVIDIA?
Jeremy Kozdon is listed as Principal Developer Technology Engineer at NVIDIA.
What is Jeremy Kozdon's email address?
AeroLeads has found 1 work email signal at @nps.edu for Jeremy Kozdon at NVIDIA.
What is Jeremy Kozdon's phone number?
AeroLeads has found 1 phone signal(s) with area code 408 for Jeremy Kozdon at NVIDIA.
Where is Jeremy Kozdon based?
Jeremy Kozdon is based in Monterey, California, United States while working with NVIDIA.
What companies has Jeremy Kozdon worked for?
Jeremy Kozdon has worked for Nvidia, Nextsilicon, Naval Postgraduate School, Stanford University, and Chevron.
Who are Jeremy Kozdon's colleagues at NVIDIA?
Jeremy Kozdon's colleagues at NVIDIA include Sushma Swaraj Ollala, Muppana Mourrya, Gohar Abajyan, Ravi Chandra Moturi, and Lark Gordon.
How can I contact Jeremy Kozdon?
You can use AeroLeads to view verified contact signals for Jeremy Kozdon at NVIDIA, including work email, phone, and LinkedIn data when available.
What schools did Jeremy Kozdon attend?
Jeremy Kozdon holds Phd, Computational And Mathematical Engineering from Stanford University.
What skills is Jeremy Kozdon known for?
Jeremy Kozdon is listed with skills including Numerical Analysis, Fortran, Scientific Computing, Algorithms, Numerical Simulation, Applied Mathematics, Matlab, and Partial Differential Equations.
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