An artificial intelligence researcher with master's and Ph.D. degrees sought EB-2 NIW classification to advance machine learning algorithms for power system security. The AAO found all three Dhanasar prongs met: national importance of the endeavor, applicant's positioning, and net benefit to the United States. Appeal sustained.

Applied and computational mathematician self-petitioned for EB-2 NIW to research guaranteed algorithms for large-scale systems, claiming prospective applications in cancer research, energy, and artificial intelligence. The AAO dismissed the appeal, finding substantial merit but insufficient evidence of national importance because the connection between the proposed research and asserted national-level impacts was too attenuated.

Computer science research scientist sought NIW under EB-2 classification. AAO dismissed appeal because proposed endeavor lacked national importance; vague research plans, no identified research field, and no documented permission to publish or present at conferences defeated first Dhanasar prong.

A machine learning scientist with a U.S. PhD in computational biosciences sought EB-2 NIW classification for developing bioinformatics algorithms and predictive models for disease detection and precision medicine. The AAO affirmed denial, finding the endeavor had substantial merit but lacked national importance and the petitioner was not well positioned to advance it without demonstrating broader impact or employer approval for external research dissemination.