My current work focuses on problems at the intersection of machine learning, data science, operations research, computational sustainability, and software development. Broadly, my research interests include:

• Developing algorithms, models, and software based systems to enable discovery and solve problems in the sciences and industry

• Supervised and reinforcement learning, both applied and theoretical

• High performance and parallel computing for large scale simulation, machine learning, and big data analytics

• Automated decision making and control