Success Story: I-140 NIW Approved for an Applied Machine Learning Researcher in Over Two Months Without an RFE
Client’s Testimonial:
"Preparing my I-140 with Chen Immigration was smooth and thorough. My petition was approved without any RFEs in just three months. I highly recommend working with them for your I-140 preparation.”
On March 18th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Graduate Student Researcher in the Field of Applied Machine Learning (Approval Notice).
General Field: Applied Machine Learning
Position at the Time of Case Filing: Graduate Student Researcher
Country of Origin: South Korea
State of Residence at the Time of Filing: California
Approval Notice Date: March 18th, 2026
Processing Time: 2 months, 20 days (Premium Processing Upgrade Requested)
Case Summary:
Trustworthy AI is not only about higher accuracy. Decision makers also need models that can explain what they are doing, and engineers need systems that can run with reasonable power consumption as AI use scales. In this case, the NIW petition centered on the client’s work to address both problems through hybrid AI frameworks that combine brain-inspired computing concepts with advanced machine learning.
The Client and the Proposed Endeavor
The client holds an M.S. in computer science and works in applied machine learning. The petition framed this work as an area of clear, substantial merit and national importance because it targets two high-consequence barriers to broad AI deployment: transparency and power consumption.
The record also shows the client is currently conducting research in the United States in an academic setting, providing an active platform to continue publishing and advancing the proposed work.
How We Framed the Client’s Significance
Instead of relying on general claims, we organized the evidence around the signals USCIS typically finds persuasive in NIW cases.
Evidence of peer-validated output:
• 7 peer-reviewed journal articles (3 first-authored)
• 11 peer-reviewed conference articles (4 first-authored and 1 co-first-authored)
• 4 accepted conference articles (2 first-authored)
• 9 preprints (4 first-authored)
• 1 work under review
Evidence of independent reliance and peer trust:
• 210 citations to the client’s published work
• At least 6 completed peer reviews to date
For NIW purposes, we did not treat these numbers as self-proving. We explained that citations are meaningful when they reflect independent researchers using the client’s methods and findings as building blocks for new work. We also highlighted that strong citation performance can be interpreted fairly through year-normalized benchmarks, showing influence relative to other work published in the same timeframe. Separately, peer review invitations function as a trust indicator because reviewers are selected for demonstrated expertise and sound technical judgment.
Funding as an Objective National Interest Anchor
The petition also documented major support from U.S. government research sponsors. We used this as objective confirmation that the research direction aligns with priorities tied to national security, reliable computing, and scalable AI capabilities, rather than being limited to a narrow academic interest.
Recommendation Letter Support
We included 1 recommendation letter from a field expert to validate the originality of the client’s contributions and to confirm the practical importance of continuing this line of research, particularly for transparent and energy-efficient AI systems. The recommender stated that:
“The value of [Client’s] work in national defense, in addition to his publication in elite journals, funding by prestigious organizations, and frequent peer review responsibilities, further highlights his status in the field.”
The Approval
The I-140 NIW petition was approved, reflecting a clear presentation of national importance, a well-supported showing that the client is positioned to advance the endeavor through peer-validated research and measurable independent uptake, and a practical explanation of why granting the waiver benefits the United States by enabling continued progress toward efficient, interpretable, and trustworthy AI.