Rob Kimball
Fund Flow Researcher at Point72
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolRob Kimball is a quantitative researcher with 10 years of experience applying data-driven methods to equity portfolios and fund flows, now focused on fund flow research at Point72 in New York. He progressed through quantitative and portfolio roles at Voya Investment Management—from junior portfolio manager to VP—bringing hands-on experience in modeling, portfolio construction, and research execution. Earlier roles in asset management and web development give him a practical blend of coding fluency and investment domain knowledge. Rob also contributes to open-source tooling for deep learning infrastructure, improving build systems and CI for projects like Apache TVM, reflecting a knack for reliable, production-ready engineering in addition to quantitative research.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Dual-Degree in Economics Psychology Business Minor, Bachelor’s Dual-Degree in Economics Psychology Business Minor at University of Colorado Boulder
Github Skills (16)
c-language10
cmake10
cprogramming-language10
build-automation10
cicd10
clangd9
clang9
compiler-compiler9
compiler9
performance-analysis8
performance-monitor8
python5
gpu5
deep-learning5
deeplearning-ai5
Programming languages (5)
Github contributions (5)
apache/tvm
Sep 2020 - Nov 2022
Open Machine Learning Compiler Framework
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:43 reviews, 26 commits, 33 PRs in 2 years 2 months
Contributions summary:Rob primarily focused on improving the build process and CI/CD configurations for the project. Their contributions include switching the Windows CI to build a Release configuration, enabling more clang compiler warnings, and adding the SYSTEM keyword to cmake include_directories commands to correctly handle external headers. Additionally, the user made changes to documentation, fixed an example, and addressed spelling errors. Overall, the user's work centered around build system improvements and maintaining code quality.
compilermachine-learningtensordeep-learninggpu
rkimball/tvm
Sep 2020 - Jan 2023
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Contributions:2 PRs, 479 pushes, 76 branches in 2 years 4 months
cpugpu-programminggpu-accelerationtvmdeep-learning
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