David Marchesseau is a distinguished AI researcher, entrepreneur, and advisor with a strong background in machine intelligence, neuroscience-inspired AI, and high-performance computing. He is currently the VP of Research at Numenta, where he leads efforts to develop and apply AI based on cortical principles. Prior to Numenta, David made significant contributions at Groq as Head of Research, focusing on AI compilers and architectures for specialized AI hardware. He also served as a Senior Staff Research Scientist at Google X (now X Development), working on confidential 'moonshot' projects, and was a Senior Principal Engineer at Hyperloop One, contributing to the development of futuristic transportation systems. David's expertise spans algorithm development, AI model optimization, and bridging the gap between theoretical research and practical, scalable applications. He holds a PhD in Electrical and Computer Engineering.
David Marchesseau's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As VP of Research at Numenta, David Marchesseau spearheads research and development of AI systems based on the Thousand Brains Theory, aiming to create more intelligent, robust, and transparent AI models by mimicking principles of the human neocortex.
During his tenure as Head of Research at Groq, he led initiatives in AI compiler technology and hardware-software co-design for Groq's innovative Tensor Streaming Processor (TSP) architecture, significantly enhancing performance and efficiency for AI workloads.
As a Senior Staff Research Scientist at Google X, David contributed to cutting-edge, confidential projects, applying advanced machine learning and AI to solve complex, large-scale problems with potential for global impact.
At Hyperloop One, as Senior Principal Engineer, he played a key role in the research and development of core technologies for the high-speed transportation system, focusing on areas requiring complex modeling and engineering solutions.
Authored and co-authored several patents in areas related to artificial intelligence, machine learning algorithms, and computer architecture throughout his career, reflecting his innovative contributions to the field.
NEOMA Business School
The University of Dallas
Institut national des Sciences appliquées de Rouen
University of International Business and Economics
INSEAD - Year 2017
INSEAD - Year 2017
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