Success Stories: NIW Granted to Researcher Tackling Cancer Through 3D Genomic Modeling
Client’s Testimonial:
“I heard about Attorney Victoria Chen's office from a friend of mine. He recommended the office very strongly to me. After that, I knew that two other colleagues working with me got their I-140 form approved, and they were clients at the same office. Initially, I sent my CV, and they evaluated it for free. They answered my questions and recommended the NIW path.
During the time of preparing the required documents, they answered all my questions. Also, they prepared excellent recommendation letters. The final document prepared to be submitted to USCIS was very professional and really excellent. They also reviewed it very carefully. Even after submitting the case, they continued to respond to my emails. I highly recommend them, and I am very thankful to them, especially to the lawyer who worked on my case most of the time.”
On February 18th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Research Scientist in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Research Scientist
Country of Origin: Egypt
State of Residence at the Time of Filing: Texas
Approval Notice Date: February 18th, 2025
Processing Time: 10 months, 8 days
Case Summary:
With cancer claiming nearly 10 million lives in 2020 alone, the demand for innovative approaches to early detection and treatment has never been more urgent. One researcher at the intersection of computer science and biomedical research has taken this challenge head-on, applying machine learning and data science techniques to untangle the complexities of 3D genome organization.
His work focuses on analyzing the spatial structure of the genome to better understand how diseases like cancer originate at the molecular level. By developing computational methods that reveal how genome folding patterns impact gene expression and mutation, he provides critical insights that can be used to improve diagnostics and drive the design of targeted therapies. The ripple effect is far-reaching: better cancer care, reduced treatment costs, and growth in biotech innovation that supports the broader U.S. economy.
With a publication record that includes 9 peer-reviewed journal articles (4 of them first-authored and 1 co-first-authored) and 2 peer-reviewed conference articles, his academic impact is well-established. His work has been cited 280 times, a clear signal of both its utility and relevance across the scientific community. In short, he is helping bridge the gap between raw genomic data and real-world clinical applications.
As one expert summarized:
"[A. A.]’s expertise in computer science, as well as his training in an outstanding clinical cancer research lab, is clearly demonstrated by his academic and professional achievements and novel project outcomes. There is thus no doubt that [Client] shall continue to produce additional valuable research, both driving progress in the field and bringing immense benefits to national and international concerns."
Backed by this strong body of work and clear alignment with national health priorities, his EB-2 NIW petition was successfully approved with the support of NAILG. With this milestone reached, he is now positioned to expand his research in the U.S., further advancing machine learning’s role in solving some of the most pressing challenges in cancer biology and medical science.