Success Stories: A Researcher Receives I-140 NIW Approval with the Help of Our Guidance and Efforts
Client’s Testimonial:
“Thanks! I am more than thrilled to hear this good news.”
On January 7th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Researcher in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Position at the Time of Case Filing: Researcher
Country of Origin: China
State of Residence at the Time of Filing: New Jersey
Approval Notice Date: January 7th, 2025
Processing Time: 2 months, 21 days (Premium Processing Requested)
Case Summary:
A researcher from China, our client, is seeking to qualify for the EB-2 NIW (National Interest Waiver) petition by proving that his proposed endeavor holds significant merit and national importance, that he is well-qualified to carry it out, and that granting the waiver for the job offer and labor certification requirement would benefit the United States. His research focuses on developing reinforcement learning algorithms and generative models to address challenging scientific problems and enhance analysis in bioinformatics, data science, and other quantitative domains.
Our firm has earned a strong reputation for successfully managing EB-2 NIW petitions, so we tailored his petition packet to align with his academic credentials and accomplishments:
- With a Master's degree in electrical and computer engineering, our client holds an advanced degree.
- His research has led to the publication of more than 5 peer-reviewed conference papers and 4 preprints. These works have been featured in top-tier conferences.
- Our client’s work has been cited more than 100 times, according to Google Scholar, confirming that his publications are widely acknowledged and relied upon in the field of machine learning for scientific advancement.
- To date, our client has completed 30+ peer reviews, underlining his status as an authority in his domain and an expert on topics closely related to his proposed work.
- Moreover, our client’s research has been supported by grants from the Army Research Office and the National Science Foundation, funding projects aimed at performing groundbreaking scientific research with national benefits. This further highlights the crucial role his work plays in improving decision-making for reinforcement learning agents.
- He has even received 4 recommendation letters from fellow experts in the field of expertise.