Success Story: Applied Mathematics Researcher from China Secures I-140 NIW Approval Without RFE
Client’s Testimonial:
"Thank you so much!! I am so excited! Big relief!"
On August 13th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for an Assistant Professor in the Field of Applied Mathematics (Approval Notice).
General Field: Applied Mathematics
Position at the Time of Case Filing: Assistant Professor
Country of Origin: China
State of Residence at the Time of Filing: North Carolina
Approval Notice Date: August 13th, 2026
Processing Time: 2 months, 1 day (Premium Processing Requested)
Case Summary:
North America Immigration Law Group is pleased to share the approval of an I-140 NIW petition for an applied mathematics researcher from China. Prepared under the Dhanasar framework, the petition demonstrated the substantial merit and national importance of the proposed endeavor, the client’s strong positioning to advance it, and the benefit of waiving the job offer and labor certification requirements. At the time of filing, the client was working as an assistant professor at a U.S. university and held a Ph.D. in mathematics.
The client’s proposed endeavor focused on developing analytical uncertainty quantification frameworks using harmonic analysis, partial differential equations, and stochastic analysis. The petition explained that the client’s work supports more reliable, data-efficient, and computationally efficient machine learning and artificial intelligence (AI) systems. We demonstrated that this work aligns with national priorities in trustworthy AI, machine learning robustness, generative modeling, critical and emerging technologies, and U.S. technological leadership.
To show that the client was well positioned to advance the endeavor, the petition presented objective evidence of scholarly productivity, independent reliance, peer-review service, open-source contribution, and federal funding recognition, including 5 peer-reviewed journal articles (4 first-authored), 3 first-authored peer-reviewed conference articles, 1 first-authored preprint, 151 citations to the client’s published work, at least 10 completed peer reviews, and research support from the National Science Foundation and the Air Force Office of Scientific Research. The petition also demonstrated the impact of the client’s research by showing that 3 of the client’s papers ranked among the top 1% and 4 ranked among the top 10% most-cited Mathematics papers for their respective publication years.
The petition showed that the client’s significance extended beyond publication numbers. We demonstrated that independent researchers had relied on the client’s work in studies involving a range of advanced topics in applied mathematics and machine learning. The petition also highlighted the client’s open-source contribution connected to robust generative learning methods, showing that his work could support broader research and technology development beyond a single employer.
We congratulate the client on this I-140 NIW approval and look forward to the client’s continued contributions to applied mathematics, trustworthy AI, uncertainty quantification, and machine learning research in the United States.