Success Story: EB-1A Approved After RFE for an Artificial Intelligence Researcher with Major Influence in Machine Learning and Deep Learning

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On April 16th, 2026, we received another EB-1A (Alien of Extraordinary Ability) approval for a Graduate Researcher in the Field of Artificial Intelligence (Approval Notice).

 


 

General Field: Artificial Intelligence

 

Position at the Time of Case Filing: Graduate Researcher

 

Country of Origin: China

 

State of Residence at the Time of Filing: New Jersey

 

Approval Notice Date: April 16th, 2026

 

Processing Time: 10 months, 19 days (Premium Processing Upgrade Requested)

 


 

Case Summary:

 

The client’s I-140 EB-1A petition was approved after an RFE. In presenting this case, we showed that the client is an established expert in artificial intelligence and, within that broader field, one of the few leading specialists in machine learning and deep learning. The materials especially highlighted the client’s work on federated learning applications for medical imaging, along with broader contributions to speaker recognition, fairness in AI, and robust data-driven models. Rather than relying on broad claims alone, the petition framed the client’s record through the EB-1A standard by showing sustained influence, original contributions of major significance, authorship of scholarly articles, and service as a judge of the work of others.

 

Accomplishments and Expertise

 

The client’s record included 5 peer-reviewed journal articles with 3 first-authored, 7 peer-reviewed conference articles with 5 first-authored, and 1 first-authored preprint. These publications appeared in highly selective venues in artificial intelligence, computer vision, medical informatics, and related fields. The petition did not present publication count as automatically sufficient. Instead, it explained that repeated publication in top-ranked venues supported the conclusion that the client’s work had been recognized by editors and reviewers as technically important and field-advancing.

 

The petition also showed that the client’s research had been cited 407 times. More importantly, it analyzed what those citations meant. Multiple papers were shown to rank among the most-cited Computer Science articles for their publication years, including two papers in the top 1% and several others in the top 10% by year. That field-adjusted evidence helped demonstrate not just visibility, but exceptional reliance by other researchers. The materials further showed that scholars around the world had used the client’s work to advance their own studies in healthcare AI, federated learning, speaker recognition, and fair transfer learning.

 

Another important part of the case was the client’s service as a reviewer. She had completed at least 24 reviews for respected journals and conferences. In EB-1A cases, this kind of evidence matters because it shows that the field trusts the petitioner’s judgment in evaluating the work of other experts. The petition also highlighted major research support tied to the client’s work from the National Institutes of Health, the National Science Foundation, the National Institute of Biomedical Imaging and Bioengineering, the National Cancer Institute, the National Natural Science Foundation of China, and the National Basic Research Program of China. That support helped reinforce the broader importance of the client’s research agenda.

 

Letters of Recommendation

 

The petition included 6 letters of recommendation, including multiple independent advisory opinions. These letters helped connect the objective record to the final merits analysis by explaining why the client’s research was not merely strong, but influential at the top of the field. One recommender noted:

 

“Thus, [Client’s] record of achievement to date more than evidences the indispensability of her research to the U.S.”

 

EB-1A Approval and Outlook

 

In the final merits stage, we showed that the client’s publication record, citation impact, peer review service, funded work, and international recognition together supported the conclusion that she had risen to the very top of the field. We are delighted that the client’s I-140 EB-1A petition was approved and look forward to her continued contributions to artificial intelligence in the United States.