Matthew Pharr
Global Chief Marketing Sciences Officer at RAPP
Dallas, Texas, United States
Summary
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RockstarMatthew Pharr is a Data & AI executive with 16 years of experience building and leading large, cross-functional analytics teams to design data-driven customer experiences across industries. As Global Chief Marketing Sciences Officer at RAPP (and formerly a Managing Director at Accenture Song), he oversees the full lifecycle of advanced analytics—thought leadership, AI innovation, measurement, and delivery excellence. He specializes in marketing effectiveness, ROI and budget allocation, experimental design, and deploying business intelligence platforms that tie analytics to commercial outcomes. Beyond strategy, Matthew maintains hands-on technical chops as an active open-source contributor to performance-focused projects like assimp, PBRT, and the Intel ISPC compiler, reflecting deep competency in back-end systems and numeric optimization. Based in Dallas, he blends rigorous statistical modeling with practical engineering sensibilities to turn complex analytics into operational solutions.
17 years of coding experience
20 years of employment as a software developer
Github Skills (35)
x3d10
c-language10
synchronized10
raytracing10
gpu-programming10
data-synchronization10
imgui10
im10
exporter10
compiler-compiler10
go10
synchronize10
synchronization10
golang10
3ds10
Programming languages (12)
Github contributions (5)
mmp/pbrt-v4
Aug 2020 - Jan 2023
Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 1220 commits, 110 PRs in 2 years 5 months
Contributions summary:Matthew primarily contributed to the ray tracer described in the repository, specifically focusing on refining build processes for GPU support and incorporating optimizations for different algorithms. The user addressed bugs related to numeric computations and performed code refactoring to improve the consistency and performance of the code. They implemented a system for more efficiently storing and displaying information about materials and implemented the functionality to generate a color-corrected visual representation of the test functions.
pbrtphysically-based-rendering
google/skicka
Sep 2014 - Apr 2017
Command-line utility for working with Google Drive. Join the mailing list at https://groups.google.com/forum/#!forum/skicka-users.
Role in this project:Back-end Developer
Back-end DeveloperContributions:32 commits, 11 PRs, 63 pushes in 2 years 7 months
Contributions summary:Matthew primarily contributed to the `skicka` project by addressing bugs, refactoring, and adding new features related to file synchronization with Google Drive. They fixed issues with empty file uploads, incorrect error handling, and the handling of multiple file names. The user also improved the code by adding features such as handling resumable uploads.
command-line-utility
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