A computer scientist proposed developing machine learning algorithms for precision medicine and drug discovery. Although the AAO found the endeavor had substantial merit and national importance, it affirmed the service center's finding that the petitioner failed to demonstrate she was well positioned to advance the research, lacking comparable evidence to established precedent.

Machine learning engineer sought EB-2 with NIW for AI-driven smart vehicle manufacturing research. AAO dismissed because petitioner failed to demonstrate national importance of the specific proposed endeavor, conflating field importance with endeavor-specific impact under Dhanasar's first prong.

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.

Senior manager of data science with Ph.D. in biostatistics sought EB-2 NIW to develop multivariate temporal models using AI for gene regulatory networks and socioeconomic systems. AAO found proposed research has national importance but petitioner's employment role only benefits employer, not the nation; petitioner not well positioned to advance endeavor.