Bryan Chan

INSuRE Workshop Session 1 - RAG Security In Enterprise Systems at CAE in Cybersecurity Community

Hoboken, New Jersey, United States
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Summary

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Senior
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Top School
Bryan Chan is a data science-focused engineer with eight years of experience applying machine learning and cybersecurity techniques to real-world problems. Based in Hoboken, he has led collaborative research and workshop teams—coordinating multi-student projects that produced papers on RAG security, BGP empirical studies, and agentic AI vulnerabilities. He fine-tuned a BERT model on 2,600+ articles to detect malicious documents with 95% accuracy and has built large-scale data pipelines and scrapers for social network analysis using Python and R. Bryan blends teaching and mentorship experience as a course assistant for programming and statistics courses with hands-on development in PyTorch, PyPy3, Julia, and VBA-driven data migrations. He has a Master’s in Data Science from Stevens Institute of Technology and a knack for turning exploratory research into practical security insights. Colleagues describe him as curious and pragmatic—equally at home explaining concepts to students or shipping reproducible experiments.
code8 years of coding experience
bookHigh School Diploma, Computer Science, High School Diploma, Computer Science at Middlesex County Magnet Schools
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Stevens Institute of Technology

Github contributions (5)

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danielyulu/angular_Project

Dec 2017 - Mar 2018

Contributions:2 commits, 1 push, 1 branch in 2 months
danielyulu/vueProject

Mar 2018 - Mar 2018

Contributions:2 commits, 1 push, 1 branch in 1 day
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Bryan Chan - INSuRE Workshop Session 1 - RAG Security In Enterprise Systems at CAE in Cybersecurity Community