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 computer science PhD candidate, proposed to continue research in advanced computing using artificial intelligence to optimize data-driven decisions, including hardware design automation and process optimization for next-generation computing platforms.
Field: computer science / artificial intelligence / advanced computing · Read the decision (uscis.gov)
EB-2 threshold — addressed
Director found and AAO agreed Petitioner qualifies as advanced degree professional; not disputed on appeal.
Prong 1 — national importanceestablished
Prong 2 — well positionedestablished
Prong 3 — balance of factorsestablished
How the evidence was treated
- recommendation letter · credited
- citations publications · credited
- degree · credited
- resume experience · credited
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Notable
Rare fully sustained NIW appeal where all three Dhanasar prongs were credited; AAO noted the Director had inconsistently found national importance in the RFE but not in the final decision, and AAO sided with the RFE's initial favorable finding.
Authorities this decision leans on
From the doctrinal survivor set — 187 authority tests across 47 distinct authorities cleared the differential-lift gates. Only those appear here.
- 8 C.F.R. 103.3
- Poursina v. USCIS
What this case teaches
Analyst reading of the decision text.
Corroborated evidence that a specific project he co-created was actively adopted by multiple named U.S. software companies, combined with expert letters calling his contributions 'landmark,' established national importance and satisfied all three Dhanasar prongs.
Support national-importance claims with concrete, verifiable evidence of adoption or use of the specific technical contribution by named U.S. entities, not just generic field-benefit assertions.
specific
critical_emerging_tech · field_advancement · us_competitiveness
mixed
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