dismissedJAN092024_06B52032024-01-09 · appeal · Texas Service Center
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 PhD physics student and computational materials scientist, claimed she would use multiscale simulation techniques to develop novel functional materials to advance quantum information science and technology (QIST).
Field: computational materials science / quantum information science · Read the decision (uscis.gov)
Prong 1 — national importancenot established · dispositive
“The Petitioner, however, did not offer a specific proposed endeavor as required under Dhanasar.”
“The record does not contain distinct, detailed information explaining the Petitioner's specific proposed endeavor.”
“Because the Petitioner did not identify her specific proposed endeavor, she did not establish how her prospective endeavor relates to any of these topics.”
AAO decision text
How the evidence was treated
- other · discounted
“did not demonstrate the nexus between her unidentified proposed endeavor and the issues in the articles”
AAO decision text - resume experience · discounted
“the Petitioner indicated her previous and current research work without discussing her prospective endeavor”
AAO decision text
Where this case turned
- Endeavor too vague · p1 — described as a job role, not a defined undertaking
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Notable
AAO acknowledged Director-level errors (misgendering petitioner in RFE, an incomplete sentence and misstatement in denial) but found these harmless because the decision as a whole was adequately supported. AAO also dismissed the appeal as an alternative independent basis even without reaching prongs 2 and 3.
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
- Matter of L-A-C-
- Poursina v. USCIS
Cases in adjacent profiles
- The Petitioner, a senior principal biostatistician, proposes to develop innovative statistical and machine-learning meth
- 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