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.