Success Story: Strengthening Clinical Evidence With Privacy-Preserving Biostatistics Secures NIW Approval
Client’s Testimonial:
"The package and experience offered by Wegreened are fantastic. Everyone is very responsible and replies to messages in a timely manner. My NIW petition was approved without any revisions after the first submission. This shows their writing and our collaboration are very effective.”
On February 24th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a PhD Student in the Field of Biostatistics (Approval Notice).
General Field: Biostatistics
Position at the Time of Case Filing: PhD Student
Country of Origin: China
State of Residence at the Time of Filing: North Carolina
Approval Notice Date: February 24th, 2026
Processing Time: 13 months, 8 days (Premium Processing Requested)
Case Summary:
When clinical researchers rely on complex trials and real-world datasets, small weaknesses in study design or statistical assumptions can ripple into high-stakes treatment decisions. To address this critical challenge, our client—a biostatistics researcher—demonstrated how modern covariate adjustment and propensity score weighting methods can make treatment effect estimates more precise and more generalizable across patient populations.
North America Immigration Law Group (Chen Immigration Law Associates) was honored to present a record demonstrating that the client’s data-driven statistical research is not only technically rigorous but also positioned to support better medical decision-making at scale.
Critically, we emphasized that the client's work serves as a practical methodology with direct real-world applications. The petition highlighted contributions spanning improved causal inference and conformal prediction methodology in clinical trials, observational, and distributed datasets.
The vital nature of this work is underscored by its backing from the National Heart, Lung, and Blood Institute, reinforcing that the research directly serves nationally significant health priorities.
Beyond the endeavor itself, the record reflected sustained peer trust and measurable influence. To firmly establish the client’s standing, we documented the following objective indicators:
- Education: An M.S. in Biostatistics
- Scholarly Output: 4 peer-reviewed journal articles and a first-authored peer-reviewed conference paper
- Citation Reliance: 22 citations to the client's published work
- Peer-Review Trust: At least 2 completed peer reviews for an authoritative journal in the field
One recommender emphasized the practical value and future trajectory of this research for U.S. healthcare and scientific communities:
“Without a doubt, it is clear that [Client] is a very promising researcher, important in his field, and that he will continue making important discoveries, given his achievements in federated learning for privacy-preserving analytics, innovative solutions for causal inference, and development of robust statistical tools that revolutionize healthcare data analysis.”
By cohesively presenting the endeavor’s merit, national importance, and the client’s demonstrated peer-validated impact, NAILG successfully secured the NIW petition approval. We are proud to have supported this promising researcher and look forward to their continued contributions to biostatistics and medical decision-making in the United States.