Success Stories: EB-2 NIW Approved for Applied Mathematician Advancing Statistical Modeling and Nonlinear Analysis
Client’s Testimonial:
“So glad to receive the message of NIW approval. Thank you so much for your professional work in this process!”
On June 2nd, 2025, we received another EB-2 NIW (National Interest Waiver) approval for an Associate Professor in the Field of Applied Mathematics and Statistics (Approval Notice).
General Field: Applied Mathematics and Statistics
Position at the Time of Case Filing: Associate Professor
Country of Origin: China
State of Residence at the Time of Filing: Illinois
Approval Notice Date: June 2nd, 2025
Processing Time: 1 year, 5 months, 4 days
Case Summary:
At the intersection of environmental science, pure mathematics, and advanced statistics lies a body of work that is transforming how we monitor our planet and model complex systems. This is the space where an accomplished applied mathematician from China has made her mark—and it’s what led to her recent EB-2 National Interest Waiver (NIW) approval in the United States.
A Dual Endeavor: Climate-Smart Statistics and Nonlinear Evolution Equations
The client’s proposed endeavor combines two major research pathways. First, she develops statistical models to improve image classification accuracy, particularly for satellite-based environmental monitoring. This has a direct application in identifying land cover changes—forests, wetlands, urban expansion—with far-reaching implications for climate resilience, agriculture, and disaster mitigation.
Second, she conducts high-level mathematical research on nonlinear evolution equations and soliton theory, core components in understanding dynamic systems in fields ranging from quantum mechanics to optical fiber transmission.
In both areas, her research advances understanding at both the theoretical and applied ends of the spectrum, providing critical tools for researchers, policy makers, and technologists.
An Established Record of Influence
This scholar’s academic portfolio includes 22 peer-reviewed journal articles, 3 conference papers, 2 published books, and a total of 179 citations to date. At least three of her papers rank among the most cited in their fields for their publication years.
Her mathematical models are not only widely cited—they’re actively used. Researchers have built upon her findings in a wide range of domains, including:
● UAV-based remote sensing in agriculture
● Epidemic modeling using nonlinear dynamics
● Land use classification via machine learning
● Soliton solutions in condensed matter physics
Endorsed by the Field
One of her independent recommenders wrote:
“Her results are particularly valuable in understanding the propagation characteristics of nonlinear waves in spin chain systems. [Client’s] work is pivotal for researchers who frequently utilize nonlinear evolution equations in their analyses.”
The recommender went on to cite her improved nonlinear models as instrumental in shaping his own work—a rare and meaningful endorsement of peer-level influence.
Applied Research with Real-World Impact
In addition to her theoretical insights, the client’s applied modeling work is helping to track land cover changes with greater accuracy. In a time when climate change is altering the Earth’s surface at unprecedented rates, being able to accurately classify urban areas, forested land, and agricultural zones is vital. Her models improve object detection from satellite imagery, helping identify urban heat islands and supporting data-driven climate action.
This aspect of her research aligns closely with the U.S. government’s environmental priorities and is supported by funding from the National Natural Science Foundation of China, a competitive agency dedicated to promoting research with tangible socioeconomic impact.
Meeting the National Interest Waiver Criteria
Her petition clearly met all three prongs of the Matter of Dhanasar framework:
● Substantial merit and national importance: Her work contributes to climate science, satellite data analysis, mathematical physics, and machine learning applications in remote sensing.
● Well-positioned to advance the endeavor: With a Ph.D. in pure mathematics and a decade-long track record of peer-reviewed success, she is recognized by both U.S. and international experts in the field.
● Benefit to the U.S. in waiving the labor certification requirement: The value of her ongoing research to public policy, science, and national innovation outweighs the need for a specific job offer.
The USCIS agreed. Filed in December 2023 and approved in June 2025, her case was accepted without delay or request for additional evidence—a testament to its strength.
This EB-2 NIW success story reflects more than scholarly achievement—it shows how mathematics, when rooted in curiosity and clarity of purpose, can generate tools that help a nation understand and protect its changing world.

