Rylie Weaver
Rylie Weaver
Data Science and Engineering (DSE)
Rylie Weaver is a PhD student in Data Science and Engineering at the University of Tennessee, Knoxville, where he’s advised by John Lagergren at Oak Ridge National Laboratory through the Bredesen Center. Weaver’s research experience includes work at Oak Ridge National Laboratory on DNA language modeling and physics-informed machine-learning interatomic potentials, and at Argonne National Laboratory on machine-learning methods for cancer drug-response prediction. He has co-authored conference papers in high-performance computing and machine learning and has presented research at conferences including PASC and SC.
Education
Weaver earned an M.S. in Statistics and Machine Learning from Claremont Graduate University, where he was awarded the Director’s Fellowship and the General Bronson Fellowship. He completed his undergraduate studies at the University of Redlands, earning a double major in Mathematics and Physics.
Research
Weaver’s research broadly focuses on developing machine learning methods for scientific problems. Recently, that has included DNA language modeling at Oak Ridge National Laboratory.