Partha Maji

Partha Maji is a Principal Research Scientist at Arm's Machine Learning Research Lab based in Cambridge, where he drives the core research on the efficient implementation of probabilistic machine learning on the resource-constrained devices. He received a PhD in computer science from the University of Cambridge, where he was advised by Dr. Robert Mullins and Prof. Simon Moore. Prior to that, he received an MSc in system-on-chip design from the University of Edinburgh. Partha spent a decade in the semiconductor industry as a CPU subsystem architect and ASIC design engineer. He has extensive experience with the end-to-end chip design process through multiple tape-outs of low-power chips at 65/40/28/22nm deep-submicron CMOS process technology. His current research interests lie in multiple disciplines that bridge the topics of machine learning, mobile/embedded systems, computer architecture and hardware implementation.  

Partha has received several excellence awards from the industry including a Mentor Graphics prize for outstanding achievement in the master’s degree. Partha also received multiple accolades for his research on on-chip interconnect including an award from Epson Europe and the IET, UK. He was also recognized by the European Neural Network Society for high-quality contribution in machine learning research. Partha was a recipient of the prestigious UK Chevening scholarship.