FEB082024_01B3203Decided 2024-02-08I-140

The AAO dismissed an EB-1B appeal for a statistical modeling researcher, finding that while he met the minimum…

Dismissed Useful for: avoid these mistakes
EB-1BField: Statistical Science / Statistical Modeling / Functional Data Analysis / Machine Learning
The outcome

This appeal was not successful at this stage

The AAO dismissed the appeal, agreeing with the Director that while the Beneficiary met the minimum evidentiary criteria, the totality of the evidence failed to demonstrate international recognition as an outstanding researcher in his academic field.

In plain English

The Petitioner sought EB-1B classification for a statistical science researcher with a Ph.D. and postdoctoral experience, now employed as an Applied Scientist. The Director denied the petition, and the AAO affirmed on appeal. Although the Beneficiary met three of six evidentiary criteria — judging, original contributions, and scholarly articles — the AAO found that the overall record fell short of demonstrating international recognition as outstanding. Key weaknesses included an insufficiently contextualized citation count of 128, letters of support that were conclusory without specific field-wide impact examples, cherry-picked citation comparisons, a minor travel award, and Chinese patent applications without evidence of adoption or influence. The AAO also confirmed that the Beneficiary's prior O-1 approval did not affect the EB-1B adjudication.

What worked & what failed

What worked: The Beneficiary satisfied three of six EB-1B evidentiary criteria: peer review service for recognized journals and conferences, original research contributions in statistical modeling and healthcare data science, and authorship of scholarly articles in his field.

What failed: The citation evidence (128 total citations) was not contextualized against field-wide norms for internationally recognized researchers, and the comparison to five handpicked lower-cited researchers was rejected as cherry-picked. Letters of support were found conclusory, lacking specific examples of how the Beneficiary's work influenced the broader field beyond his collaborators. Additional evidence — including a $300 junior travel award, two Chinese patent applications, and conference presentations — was found insufficient to demonstrate international recognition as outstanding.

Takeaway: For EB-1B petitions, petitioners must provide objective, field-wide statistical benchmarks (such as citation distributions for the entire academic field) to contextualize a researcher's metrics, and letters of support must include specific, concrete examples of how the researcher's work has influenced the broader field — not just colleagues. Satisfying the minimum evidentiary criteria is necessary but not sufficient without compelling evidence of actual international recognition.

For RFE responses & petition building

Cases like this are frequently used by attorneys when responding to RFEs or building initial petitions. The evidence patterns that worked (or failed) here directly reflect what USCIS officers look for when evaluating EB-1B criteria.

Evidence that moved the needle

  • The Beneficiary satisfied three of six EB-1B evidentiary criteria: peer review service for recognized journals and conferences, original research contributions in statistical modeling and healthcare data science, and authorship of scholarly articles in his field.

Evidence that wasn't enough alone

  • The citation evidence (128 total citations) was not contextualized against field-wide norms for internationally recognized researchers, and the comparison to five handpicked lower-cited researchers was rejected as cherry-picked
  • Letters of support were found conclusory, lacking specific examples of how the Beneficiary's work influenced the broader field beyond his collaborators
  • Additional evidence — including a $300 junior travel award, two Chinese patent applications, and conference presentations — was found insufficient to demonstrate international recognition as outstanding.
Find more EB-1B cases with similar evidence patterns →
How the case moved

Completed

I-140 filed

Applied Scientist and statistical modeling researcher specializing in statistical methods for healthcare and machine learning

Completed

Director — Denied

Initial decision: Denied.

Completed

Appeal to the AAO

Petitioner appealed to the Administrative Appeals Office for de novo review.

2024-02-08

AAO decision — Dismissed

The AAO dismissed the appeal, agreeing with the Director that while the Beneficiary met the minimum evidentiary criteria, the totality of the evidence failed to demonstrate international recognition as an outstanding researcher in his academic field.

If you're appealing a similar decision, I-290B must be filed within 30 days of personal service of the denial, or 33 days if mailed.

Authorities the office relied on
ChawathePetitioner bears burden of proof by preponderance of the evidence
Christo'sAAO reviews questions de novo
ViswanadhaUSCIS two-step analysis for outstanding professor/researcher is consistent with 8 C.F.R. § 204.5(i)(3)
KazarianDescribes the two-step evidentiary process for extraordinary/outstanding classifications
Fedin Bros.Merely repeating statutory or regulatory language does not satisfy petitioner's burden of proof
Matter of E-M-Quality, relevance, probative value, and credibility of evidence are considered in preponderance analysis
Sunlift Int'lPrior approval of nonimmigrant petition does not preclude denial of immigrant petition adjudicated under different standards
Q Data ConsultingPrior nonimmigrant approval does not bind adjudication of immigrant petition
IKEA USPrior nonimmigrant approval does not bind adjudication of immigrant petition
La. Philharmonic OrchestraAAO is not bound by service center director's prior approval of nonimmigrant petition