Success Story: NIW Approval Without RFE for a Bangladeshi Computer Science Researcher Advancing AI-Integrated Data Systems
On August 26th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Data Analyst in the field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Data Analyst
Country of Origin: Bangladesh
State of Residence at the Time of Filing: New York
Approval Notice Date: August 26th, 2026
Processing Time: 2 months, 15 days (Premium Processing Requested)
Case Summary:
We are pleased to share that the client’s I-140 National Interest Waiver petition was approved without a Request for Evidence (RFE). The client holds an M.S. in computer science and engineering and works in the field of computer science, with research centered on artificial intelligence (AI), scalable data processing, and data-driven systems that support decision-making in healthcare and public safety.
Research Focus
The client’s proposed endeavor was to continue developing AI-integrated, scalable data processing solutions that enable the effective use of large-scale data in AI-based systems. We presented this work as important to healthcare analytics, clinical decision support, public safety, technological innovation, and U.S. leadership in AI and data infrastructure.
The client is currently employed in a data-focused role in a U.S.-based academic healthcare research setting, where the client contributes to AI-integrated healthcare research, data architecture, automated data processing, and analytics solutions. This current work aligned closely with the proposed endeavor and helped show that the client was already actively advancing the same field described in the NIW petition.
Evidence of Professional Record
The client’s publication record included 1 peer-reviewed journal article and 1 peer-reviewed conference article. The client’s published work had received 21 citations, reflecting use by other researchers in multiple related areas. The client’s research was supported through funding from the National Institutes of Health (NIH), demonstrating that the work had received recognition and financial support from a federal agency for its relevance to healthcare research and innovation.
How We Demonstrated Significance
The petition focused on the broader significance of the client’s research and its potential applications across technology-driven fields. We showed that the client’s work supported the development of advanced systems capable of processing complex information, identifying meaningful patterns, improving operational efficiency, and supporting more informed decision-making in areas of public and institutional importance.
The evidence also demonstrated that the client’s findings had been considered and applied by other researchers in related areas of computer science, artificial intelligence, data analysis, and technology-enabled safety. These examples helped show that the client’s work had value beyond its original publication and contributed to ongoing research, innovation, and the development of practical solutions with broader societal and technological relevance.
Why the Case Met the NIW Standard
For the first NIW prong, we showed that the proposed endeavor had substantial merit and national importance because it addressed AI-enabled healthcare, scalable data infrastructure, clinical decision support, public safety, and data-driven institutional decision-making. For the second prong, we demonstrated that the client was well positioned through advanced training, published research, citation impact, current employment, NIH-supported work, and ongoing projects directly tied to the endeavor. For the third prong, we argued that waiving the job offer and labor certification requirements would benefit the United States because the client’s specialized work requires flexibility, continued research activity, and broader dissemination beyond a single employer.
Approval
By presenting the client’s work as a nationally important computer science endeavor, and by connecting the client’s credentials and ongoing research to demonstrated practical influence, we showed that the client met the NIW standard. USCIS approved the client’s I-140 NIW petition without an RFE, supporting the client’s continued contributions to AI-integrated data systems, healthcare analytics, scalable data processing, and public safety technologies in the United States.

