Summary
Dali Wang is a Distinguished R&D staff scientist at Oak Ridge National Laboratory with 11 years of experience bridging exascale Earth system modeling, AI/ML, high-performance computing, bioinformatics, and GIS. He also serves as joint faculty in Data & Computer Science at the University of Tennessee, bringing academic rigor to large-scale computational research and translating scientific computation into production-ready HPC solutions. His background includes managing IT/HPC infrastructure and research faculty roles, reflecting a rare mix of hands-on systems engineering and deep domain modeling. Trained with dual MSc degrees and a PhD from Rensselaer Polytechnic Institute, he focuses on accelerating science through scalable simulation and machine learning, often at the intersection of environmental engineering and computational sciences. An understated strength is his ability to align advanced manufacturing and bioinformatics workflows with exascale computing constraints to deliver impactful, reproducible research.
11 years of coding experience
2 years of employment as a software developer
MSc, Computer Science, MSc, Computer Science at Rensselaer Polytechnic Institute