Success Stories: In Less Than 6 Months, NIW Approval Won for a Principal Machine Learning Scientist in Physical Chemistry from Venezuela
Client’s Testimonial:
“Unless this is a dream, my case was approved without RFE in less than six months!!! THANKS FOR ALL YOUR HELP! I am thrilled I decided to work with you on this!”
On May 18th, 2022, we received another EB-2 NIW (National Interest Waiver) approval for a Principal Machine Learning Scientist in the Field of Physical Chemistry (Approval Notice).
General Field: Physical Chemistry
Position at the Time of Case Filing: Principal Machine Learning Scientist
Country of Origin: Venezuela
State of Residence at the Time of Filing: Massachusetts
Approval Notice Date: May 18th, 2022
Processing Time: 5 months, 27 days
Case Summary:
The EB2-NIW (National Interest Waiver) is a kind of nonimmigrant visa granted to those foreign individuals who are experts in their field and whose work is of interest to the United States. So any NIW petition must contain arguments proving the petitioner’s worth for the country beyond a reasonable doubt. This entails writing strong and informed applications for adjudication. This is exactly where our work starts.
So, when a Venezuelan principal machine learning scientist in physical chemistry came to us with his NIW request, we made sure to follow the due procedure with him. We informed him of the path ahead and countersigning the retainer began working on his petition. Our team was able to gather the following data from his documents:
- Details of his proposed endeavor: He wanted to continue his research applying his extensive experience with theoretical chemical physics, chemical interactions, quantum chemistry, method development, programming, deep learning, and representation learning to develop and apply machine learning methods to physical chemistry to improve the efficacy and production of pharmaceuticals, materials, and other chemical product.
- Relevance of his proposed endeavor: His research advancing his proposed endeavor is of great importance because it advances and speeds the development of critical new chemicals and pharmaceuticals that impact global health and quality of life. His application of machine learning technologies to speed drug development provides an excellent example of this application of multiple technologies to accelerate the development of pharmaceuticals.
- Financial aid received: Due to its clear national importance, his research has been supported with funding from the National Science Foundation (NSF), the Agence Nationale de la Recherche Scientifique (ANR) in France, and the Deutsche Forschungsgemeinschaft (DFG) in Germany.
- Academic contributions: Due to his knowledge and expertise in machine learning, quantum chemistry, and materials sciences, he has been invited to conduct peer reviews for authoritative journals in the field at least three reviews to date. At the same time, his research has resulted in 11 peer-reviewed journal articles (6 of them first-authored) which have been cited a total of 153 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of physical chemistry.
- Letters of recommendation: He had also received 4 letters of recommendation from other experts in the field. Two of these letters had the following arguments:
“[The client] has proven himself to be an important part of the scientific community. His advancements in machine learning applications and theoretical physical chemistry have allowed teams worldwide to stay at the cutting edge of research. [The client’s] work is invaluable in improving our understanding of metallic and insulating properties by providing a classical interpretation of quantum principles that are otherwise difficult to understand. Through his work with pharmaceutical development, [the client] is responsible for saving the lives of many who depend on modern medicine to cope with various diseases. [Client’s] work experiences have made him a gifted researcher with incredible skills in some of the most important techniques in current scientific progress.”
Thus, his nine years of experience in the field helped him gain the necessary knowledge and experience to continue his work in the field leading to his victory in less than 6 months. We are grateful to him for choosing our firm and we wish him all the best in his future endeavors.