Success Stories: NAILG Helps Graduate Teaching Assistant in Data Analysis from Bangladesh Win National Interest Waiver Approval without RFE
Client’s Testimonial:
“It was a great experience to work with Chen. They are highly professional, organized and thorough. I got my NIW approval in around 5 months without RFE. I highly recommend this law group.”
On November 3rd, 2022, we received another EB-2 NIW (National Interest Waiver) approval for a Graduate Teaching Assistant in the Field of Data Analysis (Approval Notice).
General Field: Data Analysis
Position at the Time of Case Filing: Graduate Teaching Assistant
Country of Origin: Bangladesh
State of Residence at the Time of Filing: Arkansas
Approval Notice Date: November 3rd, 2022
Processing Time: 5 months, 9 days
Case Summary:
The following is the list of details we used to build the NIW (National Interest Waiver) petition for a graduate teaching assistant in the field of data analysis from Bangladesh:
- His proposed endeavor is to continue his research on the development of advanced hierarchical Bayesian models, spatial and spatiotemporal models, time series models, and supervised and unsupervised models to analyze and predict categorical and continuous data relevant to many fields and types of spatiotemporal data analysis.
- His research advancing his proposed endeavor is of great importance because his development of hierarchical Bayesian models for the analysis and prediction of data has widespread applications.
- His work is critical for the analysis of data related to forest modeling, providing policymakers with important new tools for forestry management. And his work also has broad implications for the United States. Specifically, he has demonstrated the implications of his hierarchical Bayesian models for the analysis of data in biomedical imaging applications, particularly in localized breast cancer tumors. His application of hierarchical Bayesian models improves biomedical image segmentation and allows for the earlier detection and more effective treatment of breast cancer, thus demonstrating the considerable value of his work for the healthcare system of the United States.
- Due to its clear national importance, his research has in fact been supported with funding from the National Science Foundation (NSF), the National Institutes of Health (NIH), and the U.S. Department of Agriculture (USDA)’s Forest Service.
- His research has resulted in 4 peer-reviewed journal articles (3 of them first-authored), 3 peer-reviewed conference papers, and 1 peer-reviewed conference abstract.
- These publications have also been cited a total of 66 times according to Google Scholar.
- He also had 2 letters supporting his work written by other experts who recognized the value of his research for the field and the country.
Along with this, we found that he has pursued research directly related to his proposed endeavor of developing advanced hierarchical Bayesian models, spatial and spatiotemporal models, time series models, and supervised and unsupervised models for 5 years. This had given him the necessary experience to continue his research in the field.
These arguments put together were enough to convince the adjudicating bench of the merits of our client’s case and give him the approval without an RFE. We are glad to have had the opportunity to work with him on the case and be a part of his success story.