Jianfeng Chen
Research Scientist at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJianfeng Chen is a research scientist at Meta with 11 years of experience bridging automated software engineering, large-scale data frameworks, and practical cloud deployments. He holds a Ph.D. in Computer Science from NC State and has a strong track record in research (sampling and pruning for search-based software engineering) and applied systems work, including auto-deploying large workflows on AWS. At Meta he contributes to the Family of Apps data framework and has made notable contributions to the Relay compiler infrastructure and GraphQL tooling. His background includes competitive open-source engagement (Google Summer of Code) and building Bayesian and Monte Carlo tooling for production use at Facebook. Beyond papers and code, he combines theoretical rigor with hands-on implementation—often surfacing subtle performance and validation improvements within complex compilation and deployment pipelines.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 4.0/4.0, Doctor of Philosophy (Ph.D.), Computer Science, 4.0/4.0 at North Carolina State UniversityBachelor’s Degree, Software Engineering, 89.5/100, Bachelor’s Degree, Software Engineering, 89.5/100 at Shandong University
Chinese, English, Chinese
Github Skills (7)
graphql10
rust10
intermediate-language10
wordpress-graphql10
wpgraphql10
intermediate-code10
compiler-development10
Programming languages (6)
Github contributions (5)
facebook/relay
Sep 2020 - Dec 2022
Relay is a JavaScript framework for building data-driven React applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 commits in 2 years 2 months
Contributions summary:Jianfeng primarily contributed to the core compiler infrastructure of the Relay framework, specifically focusing on the GraphQL IR (Intermediate Representation) and its related validations. Their work includes adding utility functions for executable definitions, modifying fragment spread handling, introducing new functionalities like `name_with_location()`, and implementing improvements to the code generation process. They also addressed issues and made performance optimizations within the compilation pipeline.
data-drivenreactrelayreact-applicationsjavascript-framework
ginfung/LACE
Nov 2016 - May 2018
Contributions:88 commits, 2 PRs, 93 pushes in 1 year 6 months
confidentialitysecurityscalelarge-scaleassurance
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