Success Story: Overcoming an RFE to Achieve NIW Approval for a Computer Science Expert
Client’s Testimonial:
"I had an excellent experience working with Chen Immigration on my NIW petition. The attorneys were highly responsive, professional, and attentive throughout the process. They demonstrated a clear understanding of my needs and delivered high-quality work within a tight timeline. I truly appreciate their support and would highly recommend them to others.”
On March 31st, 2026, we received another EB-2 NIW (National Interest Waiver) Approval for an Expert in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Country of Origin: China
State of Residence at the Time of Filing: Illinois
Approval Notice Date: March 31st, 2026
Processing Time: 11 months, 8 days
Case Summary:
Our firm is pleased to share that an EB-2 NIW (National Interest Waiver) petition has been approved for an expert in computer science, specializing in machine learning, atmospheric surrogate modeling, natural language processing, and AI-driven data analysis. Our expert team meticulously crafted a compelling petition and successfully guided this researcher to a well-deserved approval after receiving an RFE (Request for Evidence), with the full process completed in over 11 months.
Client Background and Proposed Endeavor
Holding an M.C.S. in computer science, this researcher brings a uniquely interdisciplinary foundation that bridges data science, environmental modeling, and software engineering. The proposed endeavor is to continue research on utilizing programming, machine learning, statistical analysis, and artificial intelligence (AI) to generate faster, more accurate, and more trustworthy analytical results across a range of industrial applications, including software engineering, earth system surrogate modeling, natural language processing, and mobile application user psychological studies.
National Significance of the Research
We emphasized that the client's research carries significant national importance. By developing faster and more reliable machine learning models for atmospheric simulations, the client's work directly advances the United States' environmental monitoring and policymaking capabilities, areas formally prioritized by federal agencies, which have supported this research through competitive funding.
Impressive Credentials and Achievements
To further strengthen the case, we highlighted exceptional credentials:
- Publications: An impressive portfolio of 2 peer-reviewed journal articles (1 of them first-authored) and 2 peer-reviewed conference articles.
- Citations: The published body of work has been cited 19 times
Expert Validation
To further corroborate the objective evidence, 2 expert recommendation letters were submitted. One recommender noted:
"Ultimately, [Client]'s contributions leverage cutting-edge technology to safeguard environmental quality for future generations in the United States."
Case Outcome
This researcher's contributions to machine learning-driven atmospheric modeling and AI-powered data analysis position them to make meaningful and lasting contributions to U.S. environmental resilience and technological leadership for years to come. We are honored to have supported this journey and extend our sincere best wishes for continued success in both research and career pursuits.