Scott Reid's Location

Stanford, CA, US

Scott Reid's Work

  • Co-Founder, Head of Machine Learning @ Femtosense
  • Researcher @ Stanford Brains in Silicon
  • Research Assistant @ Geballe Laboratory for Advanced Materials
  • Student Researcher @ Wechsler Computational Astrophysics Group
  • Student Researcher @ Large Hadron Collider ATLAS Detector

Scott Reid's Education

  • Stanford University

    Master's degree (Electrical Engineering)

    2017 - 2019
  • Stanford University

    Bachelor’s Degree (Physics)

    2013 - 2017

Scott Reid's Skills

  • Python
  • Physics
  • Java
  • Data Analysis
  • Machine Learning
  • Analog Circuits
  • Deep Learning
  • C++
  • Data Visualization
  • Signal Processing

Scott Reid's Summary

Scott Reid, based in Stanford, CA, US, is currently a Co-Founder, Head of Machine Learning at Femtosense, bringing experience from previous roles at Stanford Brains in Silicon, Geballe Laboratory for Advanced Materials, Wechsler Computational Astrophysics Group and Large Hadron Collider ATLAS Detector. Scott Reid holds a 2017 - 2019 Master's degree in Electrical Engineering @ Stanford University. With a robust skill set that includes Python, Physics, Java, Data Analysis, Machine Learning and more, Scott Reid contributes valuable insights to the industry. Scott Reid has 7 emails and 2 mobile phone numbers on RocketReach.

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