Success Story: From Statistical Integrity Research to NIW Approval in 42 Days For A Chinese Expert
Client’s Testimonial:
"The Chen Immigration team was very professional and well organized. I really appreciate their attention to detail and their sound judgement in highlighting the most relevant evidence in my case."
On May 18th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for an Assistant Professor in the Field of Quantitative Methods (Approval Notice).
General Field: Quantitative Methods
Position at the Time of Case Filing: Assistant Professor
Country of Origin: China
State of Residence at the Time of Filing: Texas
Approval Notice Date: May 18th, 2026
Processing Time: 1 month, 12 days (Premium Processing Requested)
Case Summary:
When scientific evidence is used to guide public policy, education systems, healthcare interventions, and behavioral research, the reliability of that evidence becomes critically important. Through her work in evidence synthesis and meta-analysis, the client has focused on strengthening how researchers evaluate, synthesize, and interpret complex datasets, helping improve scientific integrity and evidence-based decision-making across multiple disciplines.
North America Immigration Law Group was pleased to secure approval of the client’s I-140 National Interest Waiver petition in just 42 days through Direct Premium Processing at the time of filing. The client earned a Ph.D. in educational psychology and built her research agenda around developing advanced statistical methodologies and computational tools for meta-analysis, particularly in areas involving selective reporting bias, dependent effect sizes, and evidence synthesis in real-world research settings. At the time of filing, she was serving as an assistant professor conducting research in evidence synthesis and meta-analysis.
The client’s scholarly record reflected both technical depth and independent reliance in the field. She had authored 13 peer-reviewed journal articles, including 3 first-authored publications, with many appearing in highly ranked journals in psychology and education. Her published work had accumulated 588 citations, a metric that was carefully contextualized through citation percentile analysis rather than raw totals alone. Several of her papers ranked among the top cited publications for their publication years, including articles that reached the top 0.1%, top 1%, and top 10% citation percentiles within Psychiatry/Psychology categories. The petition argued that these citation patterns demonstrated that other researchers were actively relying on her statistical frameworks and methodological innovations in their own investigations.
The case also highlighted how the client’s expertise had been recognized through peer trust and professional responsibility. She had completed at least 28 peer reviews for respected journals spanning psychology, educational research, and statistical methodology. Because peer review responsibilities are generally reserved for specialists with recognized expertise, this service was presented as objective evidence that leaders in the field relied upon her judgment to evaluate the quality and rigor of other scholars’ work. In addition, the petition noted her editorial board service for a research-focused academic journal, further reinforcing her standing within the quantitative methods community.
Another important aspect of the petition involved demonstrating governmental and institutional interest in the client’s research area. The case documented that her work had received support connected to the Institute of Education Sciences, a major federal research funding body focused on improving evidence-based educational research and policy evaluation. This funding support helped reinforce the argument that her research aligned with recognized national priorities involving scientific rigor, reproducibility, and reliable policy implementation.
We are very happy to see this I-140 NIW petition approved and look forward to the client’s continued contributions to quantitative research, scientific integrity, and evidence-based decision-making in the United States.