Case Summary:

A machine learning expert from China came to our firm for his National Interest Waiver application filing. He was a Ph.D. in statistics and worked as an applied scientist at the time of application. Our team took every care and ensured that he got the approval without delay. They made use of his academic and professional career achievements to enhance his petition document. Some of the factors that played a major role in his case approval in our opinion are:

• His proposed endeavor is to continue his research on developing and applying theoretically reliable, computationally efficient machine learning methods to modern, large-scale, complicated data to help researchers understand the models they use and make the models more trustworthy.
• His research advancing his proposed endeavor is of great importance because it contributes to the development of new technologies, models, systems, and methods that employ artificial intelligence and machine learning for major industries around the globe.
• His proposed endeavor also has broad implications for the United States. His ongoing work in the field of machine learning has proven invaluable to the interests of the United States, particularly in terms of expanding the usefulness and applications of machine learning algorithms and systems for widespread industries and technological frameworks.
• Due to its clear national importance, his research has been supported with funding from the National Science Foundation and the National Institutes of Health.
• Not only this, but one of his 4 recommendations had the following statement about the value of his work for the U.S.:

“The research of [the client], an expert scholar in machine learning theory and applications, has contributed substantially to progress in these areas, improving the quality of people’s day-to-day lives by making gainful employment more readily accessible and less stressful. By way of this letter, I want to offer my wholehearted endorsement of the merit and significance of [the client’s] ongoing work and recommend that he be allowed to complete his research in the United States.”

• He has also completed at least 6 reviews and his research has resulted in 5 peer-reviewed journal articles (2 of them first-authored) which have been cited a total of 51 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of machine learning.
• We also found that he has pursued research directly related to his proposed endeavor of research on developing and applying theoretically reliable, computationally efficient machine learning methods to modern, large-scale, complicated data for at least 4 years.

All of these factors played in our client’s favor and won him the approval without an RFE. Thanks also to the premium processing upgrade, we were able to get this application accepted within 12 days of filing.

We are proud and grateful to our client for letting us be a part of his journey to success. We wish him all the best in his future endeavors.