Success Story: From AI Pathology Research to I-140 NIW Approval for a Computer Science Expert
Client’s Testimonial:
"Thank you so much for the help along the way."
On May 14th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Senior Data Scientist in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Senior Data Scientist
Country of Origin: Taiwan
State of Residence at the Time of Filing: Massachusetts
Approval Notice Date: May 14th, 2026
Processing Time: 21 months, 6 days (Premium Processing Upgrade Requested)
Case Summary:
Cancer diagnosis depends not only on medical expertise, but also on the speed, accuracy, and interpretability of the tools available to clinicians and researchers. For this I-140 NIW petition, we helped present the client’s work in computer science as part of that larger national need. The client’s proposed endeavor focuses on developing state-of-the-art artificial intelligence to streamline diagnosis and identify novel cancer biomarkers, with the goal of enhancing the therapeutics workflow.
The client is currently employed as a senior data scientist, where his work remains directly aligned with AI-driven diagnostic and therapeutic research. His planned activities include preparing and analyzing data for AI training, evaluating AI outputs for diagnostic and therapeutic use, and studying methods that can improve performance in clinical workflow applications. In the petition, we emphasized that this work is significant not simply because it involves AI, but because it applies advanced machine learning and digital pathology methods to cancer diagnosis, biomarker identification, and improved patient care.
To show that the client was well-positioned to advance the endeavor, we highlighted his record of 3 peer-reviewed journal articles, including 1 first-authored article, and 5 conference articles, including 2 co-first-authored articles. Since conference publications carry particular weight in computer science, the petition explained why these works should be evaluated as meaningful scholarly contributions. His publications have also received 793 citations, which we framed as evidence that other researchers have relied on his methods and findings in areas such as whole slide image analysis, medical image search, cancer subtyping, and survival prediction.
The petition further documented that the client completed at least 24 peer reviews. Rather than presenting this number alone, we explained that peer-review invitations reflect field recognition, since journals and conferences rely on reviewers with specialized knowledge to evaluate new work. This helped demonstrate that the client is trusted by the research community in areas closely connected to his proposed endeavor.
The case also included 2 letters of recommendation from experts in the field. These letters supported the importance of the client’s AI research and helped explain how his work contributes to improved cancer diagnosis and therapeutics. One expert noted: “He is a credit to his profession and a valuable scholar for the nation’s interests in AI and public healthcare.”
Ultimately, the petition demonstrated the client’s significance through a combination of advanced training, current AI-focused employment, scholarly publication, strong citation influence, peer-review service, and expert support. USCIS approved the client’s I-140 NIW petition, recognizing the national value of his continued contributions to AI-enabled cancer diagnosis and therapeutic innovation.