Dali Wang
About Dali Wang
Dali Wang is a Senior R&D Staff member at Oak Ridge National Laboratory, specializing in science-inspired AI and machine learning. He holds multiple degrees from Rensselaer Polytechnic Institute and has authored over 120 peer-reviewed publications while contributing to significant national projects.
Work at Oak Ridge National Laboratory
Dali Wang has been serving as Senior R&D Staff at Oak Ridge National Laboratory since 2009. In this role, he leads multidisciplinary research focused on science-inspired artificial intelligence and machine learning. His work contributes to advancing the capabilities of AI technologies in various scientific applications. Wang's leadership in research initiatives aligns with the laboratory's mission to address complex scientific challenges through innovative approaches.
Education and Expertise
Dali Wang completed his Ph.D. in Environmental Engineering with a focus on scientific computation at Rensselaer Polytechnic Institute from 1998 to 2002. He also earned two Master's degrees in Computational Sciences and Engineering and Computer Science, respectively, from the same institution. His educational background provides a strong foundation in computational methods and environmental modeling, which informs his research and development work.
Research Contributions and Publications
Wang has authored or co-authored over 120 peer-reviewed publications, which include research papers, book chapters, software, and data. His extensive publication record reflects his active engagement in the scientific community and his contributions to advancing knowledge in his field. His research efforts have also supported national-scope projects, including the Exascale computing project and TeraGrid.
Professional Affiliations and Leadership Roles
Dali Wang serves as a board member of the International Environmental Modelling & Software Society (IEMSS), where he contributes to the advancement of environmental modeling practices and software development. Additionally, he holds a Joint Faculty Professor position in computer science and data science at the University of Tennessee, Knoxville, further enhancing his influence in the academic and research communities.
Funding and Project Leadership
Wang has played a significant role as Principal Investigator or co-Principal Investigator in projects that have secured over 15 million dollars in funding. His leadership in these projects demonstrates his capability to manage large-scale research initiatives and his commitment to advancing scientific research through collaborative efforts.