Hongwei Wu
Research Assistant at Purdue University
West Lafayette, Indiana, United States
Summary
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Rockstar🎓
Top SchoolHongwei Wu is a PhD computer science researcher at Purdue University with seven years of software and research experience focused on computer security and program analysis. He contributes to large open-source projects like angr, where he has improved control-flow and dependence graph analyses, fixed edge-generation and type-checking bugs, and strengthened test coverage—work that directly benefits binary analysis tooling used by security researchers. His background spans applied research and teaching assistant roles at Binghamton and a bachelor's in information assurance from Renmin University, giving him a strong blend of practical engineering and academic rigor. Based in West Lafayette, he combines low-level systems insight with a knack for improving reliability in complex analysis pipelines.
7 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Binghamton UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue UniversityBachelor's degree, Computer and Information Systems Security/Information Assurance, Bachelor's degree, Computer and Information Systems Security/Information Assurance at Renmin University of China
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
python10
binarydiff10
angr10
testing10
analyse9
Programming languages (3)
Github contributions (5)
angr/angr
Jan 2021 - Mar 2022
A powerful and user-friendly binary analysis platform!
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:4 reviews, 10 commits, 9 PRs in 1 year 2 months
Contributions summary:Hongwei primarily contributed to bug fixes and enhancements within the angr binary analysis platform. Their work focused on improving the CFG (Control Flow Graph) generation and related analyses, including CDG (Control Dependence Graph) and CFGEmulated. They addressed issues related to edge generation, type checking, and segment information handling, and also added and updated test cases to ensure the correctness of the platform.
pythonbinary-analysisanalysisuser-friendlyangr
hwu71/claripy
Aug 2021 - Mar 2022
An abstraction layer for constraint solvers.
Contributions:2 PRs, 12 pushes, 1 branch in 7 months
tuplerelationscrosswordsolversconstraint
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