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Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Wahid Bhimji

Wahid Bhimji
Big Data Architect, NERSC

Wahid Bhimji is a big data architect at the NERSC supercomputing center based at the Berkeley National Laboratory. His interests in AI include generative models and deep learning applied to fundamental science such as high-energy physics. He is also involved in optimizing other aspects of scientific big data workflows running on high-performance computing resources. Previously, Wahid was heavily involved in data management and analysis for the Large Hadron Collider at CERN and the UK government. He holds a PhD in high-energy particle physics.

Sessions

4:00pm-4:40pm Friday, September 7, 2018
Sponsored, TensorFlow at AI
Location: Continental 6
Joshua Dillon (Google Research), Wahid Bhimji (NERSC)
Average rating: *****
(5.00, 1 rating)
Join in for two talks on TensorFlow in space and mathematics. Josh Dillon discusses TensorFlow Probablity (TFP), and Wahid Bhimji discusses deep learning for fundamental sciences using high-performance computing. Read more.