Taylor Childers is a Computer Scientist at Argonne National Laboratory applying deep learning methods to scientific problems. He is interested in investigating how DL can replace historically developed analytical methods to speed up experimental science. Having begun as an experimental particle physicist at CERN, Taylor has been working with experimental data from the ATLAS experiment which measures the outcome of proton-proton collisions in the Large Hadron Collider.