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.
A postdoctoral fellow and incoming assistant professor proposed to continue research in data science, including algorithms and computing environments for large-scale data analysis and improved MRI sensing methods.
Field: data science · Read the decision (uscis.gov)
EB-2 threshold — addressed
The record indicates the Petitioner qualifies as a member of the professions holding an advanced degree (PhD).
Prong 1 — national importanceestablished
Prong 2 — well positionedestablished
Prong 3 — balance of factorsestablished
How the evidence was treated
- recommendation letter · credited
- citations publications · credited
- resume experience · credited
- other · credited
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Notable
AAO reverses the Director's denial, finding all three Dhanasar prongs satisfied and sustaining the appeal; heavy OCR redaction obscures specific technical field details.
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.
- INA 203(b)(2)
- Poursina v. USCIS
What this case teaches
Analyst reading of the decision text.
Petitioner showed his data science research methods had broader field-wide applicability and dissemination, overcoming Director's finding of no national/global implications shown.
Support prong-1 with expert letters and evidence (articles, citations) tying the specific technical methodology to broader field-level or economic impact, not just personal credentials.
moderate
field_advancement · us_competitiveness · critical_emerging_tech
mixed
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