Case Summary:

A senior data scientist hired the expertise of North America Immigration Law Group to submit an EB-2 NIW (National Interest Waiver) petition on his behalf. With a Ph.D. in electrical engineering and a deep understanding of machine learning, our client recognized the dedication of our skilled team in guiding him toward NIW approval. Upon careful assessment of his qualifications, we assured him of our commitment to his NIW case by incorporating all pertinent details in his petition package, aligning with the USCIS’s current approval patterns.

We established that our client’s research work is relevant to the expansion of the global economy, the satisfaction of hundreds of millions of AI users, the improvement of the AI experience for American citizens, and the continuity of the United States’ global lead in AI technology here in the United States:

It was noteworthy to brief his research on designing, improving, and implementing domain specific Generative AI models in critical sectors like transportation, manufacturing, and insurance to address several challenges around predictive maintenance and quality control in manufacturing, traffic management, and pedestrian behavior prediction in transportation, automating routine tasks for brokers in insurance and personalized product recommendations in consumer retail, thereby highlighting its great importance because it focuses on the use of techniques such as Generative AI, LLMs, and predictive models, all of which are technologies at the forefront of the AI revolution the world is seeing currently.

Also, we noted our client’s notable record of Publication, Citation Count, and Peer-Review Experience:

At the time of filing, he had gathered 62 citations from the 4 peer-reviewed conference papers (4 of them first-authored) and 1 first-authored journal article) he published. Upon reviewing his citation record, it is evident that he has had a major influence on other scholars’ understanding of topics such as the importance of environmental features in predicting pedestrian trajectory, the use of behavioral recognition to account for changes in pedestrians’ judgment, and the innovative nature of dynamic graph-based prediction models.

Additionally, we noticed that only highly accomplished experts in their respective fields are asked to carry out significant peer review work. Our client has already completed 13 reviews for several outstanding journals, underscoring his prominent position in the field. His extensive knowledge and expertise in computer vision and deep learning have led to regular invitations to conduct peer reviews for prestigious conferences in the field.

In our petition packet, we included letters of recommendation, copies of his doctorate, a letter from the registrar, his degree evaluation, a signed statement outlining his future research objectives, and proof of his future employment options:

In order to strengthen our client’s EB-2 petition package, we included all the necessary documents along with supportive letters. Two other experts in the field graciously agreed to endorse our client by signing recommendation letters that highlight his impressive publications and innovative contributions, emphasizing his irreplaceable role as a leader. It is essential to offer him the essential opportunities and support to maintain his impactful work in the United States.

One of them stated, “The United States greatly benefits from [client’s] machine learning research. His exceptional accuracy in predicting human behavior is crucial for enhancing the safety and efficiency of autonomous systems, supporting national objectives and economic growth while promoting a higher quality of life for citizens.”

In its entirety, we effectively convinced USCIS that the framework of our client’s study holds multifaceted implications, encompassing the optimization of emergency evacuations, augmentation of public space circulation, progression of self-driving vehicle guidance, and assurance of the secure functionality of interactive robots. Over time, his investigation contributes to heightening the safety and efficacy of autonomous vehicles and interactive robots in diverse everyday circumstances and settings.

Consequently, we are delighted by our client’s successful I-140 NIW petition approval through expedited premium processing within a brief span of 5 days. We extend our gratitude to our committed team whose diligence yielded favorable outcomes, and we express appreciation to our client for entrusting us. We extend our best wishes to our client as he progresses in the field of machine learning within the United States.