Daniel O'Malley leads the Subsurface Flow and Transport Team within the Energy and Natural Resources Security Group at Los Alamos National Laboratory (LANL). He earned a B.S. in computer science and mathematics, an M.S. in mathematics, and a Ph.D. in applied mathematics, all from Purdue University.
His research interests include computational science, quantum computing, and machine learning with an emphasis on applications to subsurface flow and transport. He has received numerous awards including a LANL Early Career Research award, a LANL Director's Postdoctoral Fellowship, the InterPore-Fraunhofer Award for Young Researchers from the International Society for Porous Media, a Charles C. Chappelle Fellowship from Purdue University, and a LANL Large Team Distinguished Performance Award.
He has published more than 90 peer-reviewed articles and his work has been highlighted multiple times in SIAM News.