Curtis Lambert

Specialist Solutions Architect with 21 years of experience across DoD missions and commercial projects, working as a data engineer, data scientist, and security researcher. Areas of focus include network intelligence analysis, signals development, security research, malware analysis, and threat hunting.

Former CTO and Lead Data Scientist at GTK Cyber and DataDistillr, where he led development teams and built data analysis frameworks spanning Python, Java, and Apache Drill. At RTX he led insider threat data engineering, building graph analytics on Spark and GraphFrames for user and asset attribution. Earlier roles at Booz Allen Hamilton covered digital network analysis, device and behavior signature development, and machine learning applied to SIGINT data.

Teaches at the intersection of data science and cybersecurity, including training delivered at Black Hat. Certifications: CISSP, GCDA, GCIH, and GREM.