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Dave Biagioni

Computational Research Scientist


Dave Biagioni is a senior research scientist in the Complex Systems Simulation & Optimization Group within NREL’s Computational Science Center. His work involves the use of machine learning, artificial intelligence, optimization modeling and HPC to advance a range of science and engineering efforts at NREL. Dave is the principal investigator for an ongoing LDRD titled “Assessment of Reinforcement Learning for Model NREL Problems” in which scalable, deep RL is being investigated as a control and planning methodology for mobility on demand and other energy systems applications. He is keenly interested in collaborating with domain specialists to inject ML/AI into their research to leverage NREL’s HPC system to further accelerate their work.

Research Interests

Deep and scalable reinforcement learning

Machine learning

Optimization modeling

High performance computing

Algorithm design

Applied mathematics


Ph.D., Applied Mathematics, University of Colorado Boulder

B.S., Physics, Georgia Institute of Technology 

Professional Experience

Visiting Assistant Professor, University of Denver (2017–2019)

Data Scientist, IBM (2015–2017)

Staff Scientist, NREL (2014–2015)

Research Associate, University of Colorado Boulder (2012–2014)

Research Assistant, NREL (2009–2012)