Success Story: From RFE to Approval: NAILG Wins NIW Case for Chinese AI Engineer Innovating in Medical Data Intelligence
Client’s Testimonial:
“Thank you again for your excellent service and guidance throughout the process!”
On October 31st, 2025, we received another EB-2 NIW (National Interest Waiver) approval for an AI Engineer in the field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: AI Engineer
Country of Origin: China
Country of Residence at the Time of Filing: China
Approval Notice Date: October 31st, 2025
Processing Time: 4 months, 25 days (Premium Processing Requested)
Case Summary:
North America Immigration Law Group (NAILG) is pleased to announce the approval of an EB-2 NIW (National Interest Waiver) petition for an accomplished AI engineer from China whose work is transforming the intersection of artificial intelligence and healthcare. Despite receiving a Request for Evidence (RFE), the case was successfully approved after a thorough response demonstrating the national importance of her innovative contributions.
At the time of filing, the petitioner was conducting advanced research in medical AI, developing models capable of automating medical information extraction and predicting optimal drug dosages. Her work is designed to enhance clinical efficiency, patient safety, and healthcare decision-making, addressing long-standing challenges in the U.S. healthcare system.
Her research achievements include two peer-reviewed journal articles as first author and two conference papers, which have collectively earned 155 citations from independent scholars worldwide. These works, particularly her studies on causal relation extraction and drug interaction prediction, have been widely adopted in the fields of natural language processing (NLP) and computational medicine, advancing the automation of clinical data analysis and personalized medicine.
Our client holds a Ph.D. in Computer Science and an M.S. in Business Intelligence and Analytics. Her combination of data science expertise and biomedical applications has positioned her at the forefront of AI-driven healthcare innovation. Beyond publishing influential research, she has also contributed to the scientific community by serving as a peer reviewer for at least six major journals and international conferences, reflecting her standing as an expert in AI and data analytics.
One expert stated: “[Client]’s work has made a clear impact in healthcare, pharmaceuticals, artificial intelligence, and public health.”
In responding to the RFE, NAILG’s team provided comprehensive evidence underscoring the substantial merit and national importance of her work. Her AI models were shown to directly support critical national objectives: improving healthcare outcomes, reducing medical errors, and lowering healthcare costs through automation and precision. By clearly establishing her expertise, independent recognition, and the real-world relevance of her contributions, NAILG successfully demonstrated that her continued research will significantly benefit the United States.
Our client’s petition was approved on October 31, 2025, just four months and twenty-five days after filing under premium processing, marking a swift and decisive success. Her case exemplifies both the strength of her scientific accomplishments and NAILG’s effective legal strategy in presenting compelling evidence to overcome the RFE and secure approval for a case at the intersection of AI technology and public health advancement.