This is an AAO appeal decision — a case denied once and appealed. It shows how the framework is applied; it is not the filing population.
The Petitioner, a senior principal biostatistician, proposes to develop innovative statistical and machine-learning methodologies for biomedical applications including clinical trials, biomarker discovery, medical imaging, and microbiome analysis, and to create open-source tools promoting transparency and reproducibility in precision medicine and healthcare analytics.
Field: statistics / biostatistics / biomedical data science · Read the decision (uscis.gov)
EB-2 threshold — addressed
AAO found the Petitioner established EB-2 eligibility as a member of the professions holding an advanced degree based on his doctoral and master's degrees in statistics.
Prong 1 — national importancenot established · dispositive
“the record does not sufficiently show that the Petitioner's proposed endeavor has the significant potential to broadly enhance societal welfare or to contribute to the advancement of a valuable technology or field of study.”
“the letters do not include persuasive and corroborating information about the Petitioner's proposed endeavor and its impact rising to the level of national importance.”
“they do not adequately explain how the Petitioner's specific proposed endeavor rises to the level of national importance, and the record lacks sufficient evidence to substantiate the claims.”
“None of the documents specifically mention the Petitioner's name or his work or discuss the federal government's or federal agencies' interest in promoting the use of the Petitioner's work”
“merely possessing a STEM degree or working in an important field is insufficient to establish the national importance of the proposed endeavor.”
AAO decision text
How the evidence was treated
- recommendation letter · discounted
“the letters do not include persuasive and corroborating information about the Petitioner's proposed endeavor and its impact rising to the level of national importance.”
AAO decision text - other · discounted
“they do not address the Petitioner's specific proposed endeavor and its impact rising to the level of national importance.”
AAO decision text - degree · credited
Where this case turned
- Endeavor too vague · p1 — described as a job role, not a defined undertaking
- Field importance conflated with endeavor · p1 — argues the field matters, not the specific endeavor
- Letters conclusory · p1 — letters praise skills in general terms without tracing specific impact
Notable
SCOPS had already conceded substantial merit (prong 1 partial) and that the petitioner was well positioned (prong 2), so the sole contested issue on appeal was national importance under prong 1. The AAO agreed with the petitioner that SCOPS improperly required 'actual impact' and 'job creation' as mandatory criteria, yet still dismissed on national importance grounds. The AAO also noted that an approved labor certification for the petitioner does not preclude a NIW petition, addressing a SCOPS error raised on appeal. The decision explicitly reserved prongs 2 and 3 without analysis.
What this case teaches
Analyst reading of the decision text.
Expert letters and generic federal health-data initiative documents failed to tie the petitioner's specific proposed endeavor to any concrete, nationally-scaled impact; conclusory 'national importance' assertions lacked corroboration.
Connect the specific endeavor—not the field or degree—to documented, corroborated impact scale; avoid conclusory expert claims unlinked to concrete national-level effects or government interest.
moderate
field_advancement · public_health · stem_positive_factor · us_competitiveness
mixed
Cases in adjacent profiles
- The Petitioner proposed to use advanced deep learning and machine learning models to create efficient, safe, and well-pe
- The Petitioner proposes to advance machine learning methods for the design and optimization of advanced metamaterials an
- The Petitioner, a postdoctoral chemist, proposed to continue developing high-performance materials and novel synthetic m
- The Petitioner proposes to design novel sensor data processing methods and machine learning algorithms for smart wearabl
- The Petitioner, an industrial engineer with a doctoral degree in transportation engineering, proposes to continue resear