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Baruch Tabanpour

Baruch Tabanpour is a Software Engineer specializing in Machine Learning at Google DeepMind.1 He has extensive experience in the field of artificial intelligence and data science. Tabanpour holds a Master's degree in Applied Physics and Applied Math from Columbia University and a Bachelor of Engineering in Electrical Engineering and Physics from City University of New York City College.1

His professional journey includes:

  1. Currently working as a Software Engineer, Machine Learning at Google DeepMind (since June 2019)1
  2. Previously employed as a Machine Learning Engineer at Squarespace (February 2017 - March 2019)1
  3. Worked as a Data Scientist at OnDeck (July 2015 - January 2017)1

Tabanpour has also held several research positions, including:

  • Research Assistant at Columbia University
  • Research Intern at Queens College
  • Research Intern at the National Institute of Standards and Technology
  • Research Intern at NASA1

His expertise includes Physics Simulation, as noted in his OpenReview profile.2 Tabanpour's diverse background in physics, engineering, and machine learning has contributed to his current role in artificial intelligence research and development at Google DeepMind.

Related Questions

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What are Baruch Tabanpour's main research interests in machine learning?
How did Baruch Tabanpour transition from electrical engineering to machine learning?
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Can you provide examples of Baruch Tabanpour's contributions to Google's machine learning initiatives?
Baruch Tabanpour
Baruch Tabanpour, photo 1
Baruch Tabanpour, photo 2
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Location

Woodside, New York