Sandeep is a postdoc at Argonne. His research spans the areas of machine learning, uncertainty quantification, and high-performance computing. He is currently working on developing Bayesian machine learning approaches to address key challenges in I/O at extreme scales on leadership-class compute and storage systems.
Before joining Argonne, he obtained his Ph.D. in mechanical and materials engineering from the University of Cincinnati.
- Machine learning
- Bayesian inference
- Uncertainty quantification
- High-performance computing and storage systems