Staff Scientist

The petition was approved based on the satisfaction of at least three EB-1A criteria, including 16 peer-reviewed journal articles and 4 book chapters. The petitioner demonstrated significant influence through 456 citations and the completion of at least 10 peer reviews for scholarly journals. The evidence established that the petitioner's AI-powered computational methods are actively used by leading research institutions worldwide.

The petition was approved based on the petitioner's authorship of 23 peer-reviewed journal articles and 10 conference abstracts, which garnered 576 citations. Additionally, the petitioner demonstrated significant professional standing by completing at least 54 manuscript reviews for high-impact journals. The evidence satisfied the EB-1A criteria for scholarly articles, judging the work of others, and original contributions of major significance.

The petitioner demonstrated extraordinary ability through 306 peer-reviewed publications and 4,287 citations, placing him in the top 1% of researchers in his field. He satisfied the EB-1A criteria for judging the work of others with over 350 reviews and original contributions of major significance in catalysis and cancer therapeutics. The case was further supported by high-impact journal rankings and expert testimony regarding the work's global influence.

The petitioner submitted evidence of 18 peer-reviewed scientific articles with 1,115 citations, demonstrating significant field impact. He also proved his expertise by completing at least 25 peer reviews for leading journals. Furthermore, his work received major funding from the National Institutes of Health (NIH) and the National Natural Science Foundation of China.