Caner Tol

Caner Tol is a skilled Computer Science Expert with a PhD and extensive experience in research and hardware security. Currently at Mercor since August 2025, Caner specializes in microarchitectural side-channel and fault injection attacks, along with the application of Transformer models, generative AI, and reinforcement learning for attack discovery, detection, and mitigation. Previous roles include Research Associate and Research Assistant at Worcester Polytechnic Institute, with teaching assistant responsibilities in multiple computer architecture and network courses. Caner's industry experience includes internships at NVIDIA focusing on GPU hardware security and a role as a Network Security Engineer at Aselsan, contributing to network security management and malware detection. Caner holds a PhD and an MS in Electrical and Computer Engineering from Worcester Polytechnic Institute, along with a Bachelor's degree in Electrical and Electronics Engineering from Middle East Technical University.