Success Story: NIW Approved Without RFE! We Helped a Lecturer and Researcher Secure Success
Client’s Testimonial:
"Experience was excellent and the staff were very cooperative and helped to make all the steps easy and smooth."
On April 22nd, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Lecturer and Researcher in the Field of Artificial Intelligence (Approval Notice).
General Field: Artificial Intelligence
Position at the Time of Case Filing: Lecturer and Researcher
Country of Origin: Egypt
State of Residence at the Time of Filing: New York
Approval Notice Date: April 22nd, 2026
Processing Time: 21 months, 11 days (Premium Processing Upgrade Requested)
Case Summary:
We are pleased to share that we secured I-140 NIW approval for a client with a Ph.D. in computer science and expertise in artificial intelligence. The client’s proposed endeavor focused on using sophisticated AI methods to analyze complex datasets related to aging, Alzheimer’s disease, and related dementias, with the goal of improving diagnostic methods, tailoring patient care, and informing public health strategies that may help delay or prevent these diseases.
Research Leadership and National Impact
The client’s work was positioned around a nationally important need. Alzheimer’s disease and related dementias create major public health and economic burdens, and the petition explained how AI-driven data analysis can support earlier diagnosis, better disease modeling, and more personalized intervention strategies.
Strong Evidence of Research Excellence
To demonstrate that the client was well-positioned to advance the endeavor, we presented her record of 3 peer-reviewed journal articles, 2 conference papers, and 1 book chapter, all of which were first-authored. Her publications had received 72 citations, which we framed not merely as a number, but as evidence that other researchers had relied on her work in areas such as machine learning, gene selection, biomedical data analysis, and predictive modeling.
We also emphasized the quality and context of this recognition. One of the client’s papers ranked among the top 1% most-cited computer science articles for its publication year. This helped show that her work had drawn attention at an exceptional rate when compared with similarly situated publications. In addition, the client had completed at least 7 peer reviews, which supported the argument that journals viewed her as qualified to evaluate the work of other researchers in related technical fields.
How We Demonstrated the Client’s Significance
The petition connected the client’s prior research to her proposed endeavor by showing a consistent record of applying AI methods to complex data-driven problems. Her work on wind speed prediction demonstrated her ability to develop and optimize predictive models. Her research on gene selection and cancer classification showed her capacity to apply machine learning to high-dimensional biomedical datasets. Together, these projects supported the broader argument that she had the technical foundation to advance AI-based research involving aging, Alzheimer’s disease, and related dementias.
Rather than presenting the client’s publication and citation record as self-evidently sufficient, we explained how an adjudicator could interpret these materials. The first-authored publications showed intellectual leadership, the citations showed independent reliance by other researchers, the top-percentile citation evidence contextualized impact within the field, and the peer-review record showed professional trust.
I-140 NIW Approval and Outlook
By organizing the case around the client’s advanced STEM training, AI expertise, first-authored research record, citation impact, peer-review activity, and future research plans, we demonstrated that her continued work would advance important U.S. interests in public health, biomedical innovation, and artificial intelligence. We congratulate the client on this I-140 NIW approval and wish her continued success in advancing AI-driven research for improved diagnosis and patient care.