Nicolas (@NKseib) is the Lead Data Scientist at TruSTAR Technology, a cyber intelligence platform built to accelerate enterprise security investigations. He leads the company’s data science initiatives and roadmap. He is always thinking of ways to leverage analytics and machine learning to design features improving the operational efficiency of security teams. Before joining TruSTAR, Nicolas received his M.S. and Ph.D. in Mechanical Engineering from Stanford University specializing in Flow Physics and Computational Engineering.
CryptoLocker Deep-Dive: Tracking security threats on the Bitcoin public ledger