Zicun Cong
Technical Staff at Culminate (Acquired by Datadog)
Burnaby, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolZicun Cong is a Technical Staff and founding MLE at Culminate (now part of Datadog) with 12 years of experience building production ML systems for cybersecurity, from breach prediction to IoC and malware detection. He holds a Ph.D. in Computer Science from Simon Fraser University and has led teams at Zscaler and Fortinet to deploy large-scale models that improved detection accuracy and powered services protecting millions of endpoints. His strengths span data mining, graph neural networks, frequent pattern mining, and distributed data pipelines (Hadoop, Spark, HBase), with a track record of translating research—such as interpretable and fair ML—to operational threat intelligence. Notably, his team’s LLM agent work achieved top human-AI performance at DEFCON 32 SOC and finalist placement at RSA Launchpad 2024, reflecting an ability to fuse cutting-edge AI with real-world SOC workflows. He combines deep academic rigor with hands-on engineering across logs, graphs, and text, and is passionate about scalable, interpretable models for high-stakes security.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Computer Software Engineering, Bachelor of Engineering (B.Eng.), Computer Software Engineering at Sun Yat-sen UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Simon Fraser University
English, Chinese
Github Skills (13)
ggplot9
wireshark8
parsing7
tshark6
packet6
packet-parsing6
packet-capture6
python6
pure-python4
visualization4
database-access4
odbc3
database3
Programming languages (2)
Github contributions (5)
Minzc/YZKnowl
Oct 2013 - Dec 2013
Contributions:53 commits in 1 month
Minzc/App-Fingerprint
Feb 2015 - Sep 2016
Contributions:4 releases, 1221 commits, 331 pushes in 1 year 7 months
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