Mike Wang

Dr. Michael Wang is an applications physicist in the Scientific Computing Division at Fermilab. His expertise lies in the use of novel computing technologies to solve otherwise computationally prohibitive problems in HEP. Currently, he develops deep learning techniques to improve the reconstruction of neutrino interactions in liquid argon time projection chambers and leads an effort to explore in-storage computing for enhancing the Deep Underground Neutrino Experiment's ability to detect and study supernova neutrino bursts.
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Posts by Mike Wang

Simulation / Modeling / Design

Scaling Inference in High Energy Particle Physics at Fermilab Using NVIDIA Triton Inference Server

High-energy physics research aims to understand the mysteries of the universe by describing the fundamental constituents of matter and the interactions between... 9 MIN READ