Our Team

Professor Nick Bambos is a distinguished scholar in computer systems, high-performance engineering, and intelligent network design, bringing decades of pioneering research and academic leadership to The Standard School of Machine Learning (TheSSML). With a joint background in electrical engineering and management science, he offers a rare interdisciplinary perspective that bridges advanced computing architectures, systems optimization, and data-driven decision science. His extensive experience includes serving as the R. Weiland Professor in Stanford’s School of Engineering and as the former Fortinet Founders Chair of the Department of Management Science & Engineering.

Professor Bambos leads the renowned Computer Systems Performance Engineering Lab (Perf-Lab), supervising cutting-edge research on networked systems, cloud infrastructure, data centers, security, and digital health. He has published over 300 peer-reviewed papers and mentored more than 40 doctoral students who today lead innovations across academia, Silicon Valley, and global technology industries. His work spans online task scheduling, distributed systems, routing algorithms, network control, and applications of machine learning and AI to large-scale cyber-physical systems, contributing foundational knowledge to both theory and practice.

Before joining Stanford, Professor Bambos served as a faculty member at UCLA, having earned his PhD in Electrical Engineering and Computer Sciences from UC Berkeley. His many honors include the IBM Faculty Award, the NSF National Young Investigator Award, and multiple best-paper awards. He has also held prestigious fellowships and served on editorial boards, scientific committees, corporate advisory panels, and as an expert witness in high-profile technology litigation.

At TheSSML, Professor Bambos contributes deep expertise in computational systems engineering, intelligent networks, and scalable machine learning, guiding students to master the principles shaping next-generation computing and digital transformation.