News (archived)

We are pleased that Dr. Jeff Dean from Google and Dr. Reza Zadeh from Databrick visited McGill and our lab.

Jeff joined Google in 1999 and is currently a Google Senior Fellow in Google's Knowledge Group. He has co-designed/implemented five generations of Google's crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google's initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of much of Google's distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, LevelDB, systems infrastructure for statistical machine translation, and a variety of internal and external libraries and developer tools. He is currently working on large-scale distributed systems for machine learning. Prior to joining Google he worked for Digital Equipment Corporation's Western Research Lab, and for the World Health Organization's Global Programme on AIDS. He is a Fellow of the ACM, a Fellow of the AAAS, a member of the U.S. National Academy of Engineering, and a recipient of the Mark Weiser Award and the ACM-Infosys Foundation Award in the Computing Sciences. He received a B.S. in computer science & economics, summa cum laude, from the University of Minnesota, and a M.S. and Ph.D. in computer science from the University of Washington.

Reza Zadeh is a consulting professor at Stanford University, and Technical Advisor to Databricks, conducting research and teaching courses targeting doctorate students. He focuses on Discrete Applied Mathematics, Machine Learning Theory and Applications, and Large-Scale Distributed Computing. He got his Ph.D. degree in Computational Mathematics from Stanford University, and Masters degree in Computer Science from Carnegie Mellon University. He is a recipient of the Gene Golub Outstanding Thesis Award from Stanford University.

CENGN, Canada’s Centre of Excellence in Next Generation Networks, brings together the supply chain of multinational industry leaders, service providers, SMEs and research organizations to create a sustainable physical and virtual multi-vendor commercialization, test, certification and validation platform networked with state of the art capability. It removes barriers to commercialization for SMEs and start-ups by providing access to a world-class platform for validating advanced products, applications and services.

TandemLaunch scouts, accelerates, and commercializes early-stage technologies from the world's top universities in close partnership with major Consumer Electronic brands.