An Applied Postdoctoral Fellow in the field of Artificial Intelligence Gains EB2-NIW Approval despite the RFE [Request for Evidence]
Client’s Testimonial:
“Because of the nature of my work and time constraints, I knew my EB-2 NIW petition would be demanding, especially after USCIS issued an RFE challenging all three prongs. Yet the team’s strategic guidance turned what could have been a major setback into a decisive win.
They built my case around the real-world impact of my AI-driven cancer diagnostics research, weaving every publication, citation, and grant into a cohesive narrative that matched national healthcare priorities. When the RFE arrived, their response was surgical: they addressed each point with meticulously organized evidence, expert letters, and clear explanations of how my work advances U.S. precision-medicine goals.
The result speaks for itself: premium-processed approval in just 4 months and 14 days—even after the RFE. I’m now free to expand my multimodal AI projects in oncology without immigration uncertainty. If you need a partner that understands both science and immigration strategy, this is the team you want.”
On May 7th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for an Applied Postdoctoral Fellow in the Field of Artificial Intelligence (Approval Notice).
General Field: Artificial Intelligence
Position at the Time of Case Filing: Applied Postdoctoral Fellow
State of Residence at the Time of Filing: Florida
Approval Notice Date: May 7th, 2025
Processing Time: 4 months and 14 days (Premium Processing Requested)
Case Summary:
An applied postdoctoral fellow in the field of artificial intelligence has been granted approval for his I-140 petition under the EB-2 National Interest Waiver (NIW) category. The petition, filed with the premium processing, was approved within 4 months and 14 days, despite receiving a Request for Evidence (RFE). His success showcases both the strength of his research profile and the effectiveness of our team’s RFE response strategy.
Tackling healthcare challenges through AI-driven innovation
With a focus on AI applications in healthcare, the client’s proposed work targets some of the most pressing issues in cancer diagnostics and personalized treatment. His research combines deep learning, generative models, and bioinformatics to build more accurate predictive tools, especially in the realm of immunotherapy and lung cancer prognosis. By designing models that can detect genetic signatures and treatment resistance, his contributions support the broader U.S. objective of advancing precision medicine through technology.
A research profile marked by strong global engagement
The petition emphasized the client’s academic productivity, citation influence, and scholarly involvement, including:
● 5 journal articles (4 as first author), 5 abstracts, 3 preprints, and 1 book chapter, most first-authored
● 129 citations, signaling significant adoption of his findings in AI reliability, digital pathology, and data fusion
● Four of his papers ranked among the most cited in computer science, including three in the top 1% for their year.
● Peer review experience of at least 5 peer reviews with respected journals such as IEEE Transactions on Medical Imaging
● Project funding from the National Science Foundation, confirming alignment with U.S. research priorities
Research goals aligned with U.S. innovation strategiesLooking ahead, the client aims to expand his research on AI-assisted cancer diagnostics, particularly in building multimodal learning frameworks that merge genomic, histopathological, and clinical datasets. His work seeks to minimize diagnostic uncertainty and ensure more equitable access to AI-driven solutions in healthcare, contributions that directly support national goals in medical innovation and public health technology.
Recommendations supported his national relevance
The case included two strong letters of recommendation, one of which came from an independent expert. Both letters attested to the novelty and applied significance of his work. One recommender emphasized:
“[Client’s] specific contributions have enabled us to predict a system’s ability to resist noise and attacks early in its development and protect the integrity of its operations. Clearly, [client] is vital in ensuring the credibility and security of computer systems, necessitating the continuation of his research with the nation’s support.”
Approved in just 4 months and 14 days, even with an RFEWe’re pleased to share that this petition, despite undergoing an RFE, received approval just 4 months and 14 days after filing with the premium processing. The outcome reflects not only our client’s distinguished record but also our focused approach to preparing and defending NIW applications. We extend our congratulations and look forward to his continued contributions at the intersection of AI, medicine, and public benefit.