Dan Salo is a Staff Data Scientist based in Durham, NC with a decade of experience turning complex data into actionable defenses for email, URL, and attachment threats. At Proofpoint he leads work on multimodal LLMs and agentic workflows that automate CyberOps, blending deep learning research with production-grade security tooling. His background spans ML management and hands-on model development, grounded in earlier applied research on imaging and biosensors from Duke and NC State. Known for making "the world's data more understandable," he bridges academic rigor and pragmatic product delivery, often applying techniques from medical imaging to cybersecurity signal detection.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Duke University
Bachelor of Science - BS Biomedical Engineering, Bachelor of Science - BS Biomedical Engineering at North Carolina State University
TF Implementation of Multiple Instance Learning FCN.
Contributions:5 commits, 11 pushes, 5 comments in 2 years 3 months
deep-learningfcnmultiple-instance-learning
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