On Dec. 3rd, another one of Chen Immigration Law Associates’ EB1A (EB-1 EA) cases was successfully adjudicated in favor of our client. In this case, our client was involved in domain-specific knowledge mining at a prestigious University in Kansas. We framed the petitioner as an expert on Statistical Machine Learning with expertise in Bioinformatics, Natural Language Processing, and Artificial Intelligence.
In practice, we successfully argued our client’s case by clearly presenting his work on algorithms that allow computers to evolve behaviors in a way the USCIS recognized favorably. In addition, we drafted six letters of recommendation highlighting our client’s unique expertise in Statistical Machine Learning and strong academic background in mathematics, computer science and statistics to distinguish him from other applicants.
With a strong record of accomplishment, our client’s foreign-based research was argued to enhance the impact of his current work and prove sustained performance in his field. As such, the U.S.C.I.S. agreed that our client’s innovative studies provide sophisticated computational models for the sorting and classification of data, which is in US national interest. Ultimately, the case was approved in 5 days after our client upgraded his case to Premium Processing.
North America Immigration Law Group (Chen Immigration Law Associates) is a U.S. immigration law firm dedicated to representing corporations, research institutions, and individuals from all 50 U.S. states regarding I-140 immigration petitions. We specialize in employment-based immigration petition and have a proven record of high success rate for the categories of: EB2-NIW (National Interest Waiver), EB1-A (Alien of Extraordinary Ability), EB1-B (Outstanding Researcher/Professor) and O-1 (Alien of Extraordinary Ability).
Our Ten Thousand I-140 Approvals Provide Unprecedented Insight into the USCIS Adjudication Trend
With more than 16,000 EB-1A, EB-1B, EB-2 NIW and O-1 cases approved, we have first hand information on the manner in which the USCIS adjudicate I-140 cases. As the USCIS has constantly changed its adjudication standards for the EB-1A, EB-1B and EB-2 NIW categories, our firm's huge database of successful cases gives you unprecedented insight to USCIS adjudication trends. We carefully analyze the data for all of our cases and apply the results of our analyses toward giving our clients up-to-date advice and adapting our strategies such that we remain on par with the ever-shifting landscape of immigration law in the U.S. With us, you will always have access to important updates, strategies, and information so that you can make the most informed decisions about your case.
We Have Helped Hundreds and Thousands of Clients with Credentials and Backgrounds Similar to Yours
With our exceedingly large number of successful petitions, no matter what credentials you have, no matter your background and field of expertise, no matter your visa status or nationality, chances are we have helped hundreds or even thousands of clients just like you. Our clients are usually impressed with how well we understand their research and work. Our insight and understanding stems from the fact that we have handled many cases with elements similar to yours already, and this helps us devise the best strategies for each individual petition.
Vast Majority of Clients Came to Us Because of Referrals
For years, our firm has attracted new clients based solely on word of mouth, recommendations, and the positive collaboration experiences shared with them by their friends and family. We take pride in our reputation and work hard to ensure that we provide a green card application experience that our clients are happy to share with their friends and colleagues. That is how our approved cases grew from 600 in 2013 to over 3,500 in 2019.
Approval Notices: https://www.wegreened.com/eb1_niw_approvals
Success Stories: https://www.wegreened.com/blog/
Free evaluation email: email@example.com
Tel: 888.666.0969 (Toll Free)
To see more clients’ testimonials and approvals, please refer to: