Artificial Intelligence for Science

Artificial Intelligence offers potential to accelerate science simulations and new scientific discoveries.

My specific interests lie in developing surrogate models for scientific simulations or engineering systems, especially on problems that require a very large amount of data and/or compute. The science or engineering data sets that I work with involve heterogeneous systems with different materials and physical properties such as temperature and density. I am also interested in accelerating AI approaches on novel hardware architectures.