Case Summary:    

In today’s rapidly evolving technological landscape, innovation isn’t just about algorithms—it’s about understanding how humans think, decide, and behave. For one Ph.D. candidate in cognitive science, this intersection between mind and machine became the focus of a deeply influential research agenda—one that has now been recognized through the approval of her EB-2 National Interest Waiver (NIW) petition.

Originally from China, this young researcher has made significant contributions to the field of cognitive science through her computational modeling and behavioral experiments aimed at improving AI-based decision-making and strategic planning. Her work, while rooted in deep theoretical understanding, has broad applications—from more effective educational tools to culturally adaptive AI systems.

As a current doctoral candidate, she has already authored 5 peer-reviewed journal articles, 6 peer-reviewed conference papers, 2 preprints, and even a book. Her research has been cited 93 times to date, with four of her publications ranking in the top 20% of most-cited articles in psychiatry and psychology for their publication years. This includes a meta-analysis on developmental research that is among the top 0.1% most-cited articles in its category.

Her peers in the field recognize her as a trusted voice—she has been invited to review at least 30 manuscripts for highly regarded journals and conferences, such as npj Science of Learning, Nature Reviews Psychology, and the Journal of Experimental Psychology: General. This level of engagement is rarely granted to junior scholars and speaks volumes about her reputation.

Her research explores how humans—particularly infants and children—interact with their environments and make decisions over time. By modeling these cognitive processes, she has created systems to simulate attention patterns across age groups. These insights are invaluable for designing artificial intelligence that can better replicate and respond to human behaviors.

One recommender, a senior professor from a University, summarized her impact well:

“[Client’s] research is vital for understanding how humans engage with the visual world and for creating sophisticated artificial intelligence systems that mimic human-like learning and exploration patterns.”

We demonstrated in her NIW petition that her work falls squarely within the United States’ critical and emerging technology interests. Her projects—ranging from syntactic bootstrapping in language development to cross-cultural cognition—are directly aligned with the nation’s efforts to maintain leadership in AI, education technology, and cognitive modeling.

In addition to her academic excellence, she is set to join the private sector, where she will apply her expertise to real-world technology consulting, further ensuring her insights are implemented at scale.

Her approval—secured within just over two months of filing—is a powerful affirmation of how theoretical research, when guided by insight and empathy, can drive technological progress with meaningful societal impact.

At NAILG, we’re proud to have helped her secure this well-earned milestone and excited to see how her curiosity continues to shape the future of intelligent systems.