Success Story: NIW Approval for a Tenure-Track Assistant Professor in Statistics Following a Successful RFE Response
Client’s Testimonial:
"It has been an absolute pleasure working with WeGreened, and I have deeply appreciated your support and legal counsel throughout the process. I am grateful to the team, and particularly to Ms. M.C., for her very professional and helpful guidance with my RFE.”
On February 18th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for an Assistant Professor (Tenure Track) in the Field of Statistics (Approval Notice).
General Field: Statistics
Position at the Time of Case Filing: Assistant Professor (Tenure Track)
Country of Origin: India
State of Residence at the Time of Filing: New York
Approval Notice Date: February 18th, 2026
Processing Time: 5 months, 27 days (Premium Processing Requested)
Case Summary:
Although the case encountered a Request for Evidence (RFE) during adjudication, our strategic legal response led to an approval on February 18th, 2026. Utilizing Premium Processing, the entire case was resolved in 5 months and 27 days.
The Proposed Endeavor: Advanced Machine Learning and Big Data Analytics
Equipped with a Ph.D. in statistics, the petitioner’s work centers on developing and implementing computation-intensive statistical and machine-learning methods. His research focuses on modeling and analyzing complex, large-scale, high-dimensional data to infer new insights using rigorous statistical uncertainty quantifications.
This research is of clear substantial merit and national importance, as it is designed to answer major challenges across a wide range of critical data-driven domains. Specifically, his models are applied to contemporary biomedicine (including cancer genomics, medical product safety, and computational biology) as well as environmental sciences (specifically soil sciences).
A Prolific Record of Scholarly Achievement
To firmly establish that the petitioner was well-positioned to advance this critical endeavor, North America Immigration Law Group (Chen Immigration Law Associates) compiled a detailed presentation of his outstanding academic output. We highlighted his impressive portfolio, demonstrating that he has documented the results of his work in 39 peer-reviewed journal articles. Notably, he served as the first author on 15 of these articles. In addition, his research contributions include 1 first-authored book chapter.
The broader scientific community's reliance on his sophisticated statistical methodologies is evident in his citation record. With 716 citations to his published body of work, it is clear that his findings are widely recognized and applied by independent researchers around the world.
Navigating the Adjudication Process
The RFE required a highly targeted and comprehensive rebuttal to resolve any adjudicator uncertainties, and NAILG immediately took action.
To construct a bulletproof RFE response, our legal team systematically reiterated the profound national importance of his endeavor. We elaborated in great detail on how his machine-learning methods provide crucial, data-driven solutions for the U.S. healthcare system and environmental sustainability. By meticulously demonstrating how his past success guarantees future national benefits, we provided the exact clarifications the reviewing officer needed.
Following the submission of this RFE response, USCIS agreed with our arguments and approved the case. We are honored to have represented this distinguished assistant professor and wish him continued success in his vital statistical research.