Meet Daniel O'Malley
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.
Expertise
- Numerical modeling of subsurface flow and transport
- Differentiable programming and machine learning
- Quantum computing