Experience
Education
Bio
Research interest is in the following areas:
Machine learning to bridge the electronic, atomistic and mesoscopic scales
Integrate atomistic (and continuum) simulations with ultrafast X-ray imaging
Inverse design for materials discovery and machine learning to predict metastable phase diagrams
Applications of interest include tribology, corrosion, neuromorphic computing, energy storage and thermal management