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Peter is the founder of Myrtle.ai, which has focused on hardware-software co-design for efficient machine learning inference and other core data-center workloads since 2017. Through Peter, Myrtle.ai was instrumental in setting up the speech transcription benchmark for MLPerf. Peter previously founded a software development company which wrote distributed data center software. He was also a Senior Technical Director at several multinational visual effects companies. Peter holds a PhD in Pure Mathematics from Cambridge University, UK.
Liz runs Myrtle.ai’s engineering operations. Liz has been running teams to create FPGA based products and systems for over 15 years. She has developed state of the art mobile telecommunications equipment, shipped defence systems into theatre and led verification activities for security critical applications. Liz is a Chartered Engineer with a technical background in RTL design, verification and electronic systems design.
Tom was previously Executive Vice President of Sales and Marketing at Marvell Technology. Prior to joining Marvell in 2016, Tom spent 12 years at Broadcom in a variety of executive leadership roles, including EVP of Business Development, EVP of Worldwide Sales, and SVP and General Manager of the Enterprise Computing Group. Tom earned an M.S. in Electrical Engineering from the University of Southern California and a B.S. in Electrical Engineering from Ohio State University.
Giles has global experience in design, sales and marketing roles with ASIC, FPGA and IP companies. Since 2018 he has focused on FPGA acceleration for machine learning applications and he joined Myrtle.ai in 2019.
Mike is an expert in the design, test and optimisation of complex FPGA based products. In previous roles he has developed new products including a multi-constellation, global navigation satellite system receiver and a software defined meshing radio.
Jon is an expert in the testing and verification of functional programs. At Myrtle.ai he is one of the lead developers of the MAU Accelerator.
Cambridge University educated computer scientist and expert on functional programming and its applications to low level systems.
Doug has extensive experience in FPGA and hardware architecture and design. Prior to joining Myrtle.ai, Doug has had roles in startups and consultancy, finding innovative solutions to customer problems.
If you’re interested in the efficient deployment of AI-based services using inferencing on DNNs, we’re interested in hearing from you.