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Samuel Manning

Samuel Manning is passionate about AI acceleration and hardware-software co-design. With a strong academic background in computer architecture and embedded systems, they have contributed to optimizing AI workloads using FPGAs, GPUs, and ASICs. They are eager to advance sustainable AI computing through interdisciplinary research.
Living in : United States of America (USA)
Gender : MaleRace : White
Academic Profile
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Contact Information

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Educations

Harvard University logo
RoboticsPhDHarvard University2025-01-07 United States of America (USA)
Stanford University logo
RoboticsMaster'sStanford University2023-12-21 United States of America (USA)
University of Melbourne logo
RoboticsBachelor'sUniversity of Melbourne2020-03-06 Australia

Work Experiences

job1
at company1
Start : 22-Jun-2021
End : 11-Jul-2022
job2
at company2
Start : 19-Jul-2023
End : 09-Dec-2024

English Scores

TOEFL01-Jan-0001
86/120Total
Reading :
0/30
Listening :
0/30
Speaking :
0/30
Writing :
0/30