Hai “Helen” Li Named American Association for the Advancement of Science Fellow
3/26/26Awards3 min read
Li was recognized for contributions to the hardware design and implementation of machine learning algorithms, their translation to industrial practice, related educational endeavors, and service to the profession.
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Hai “Helen” Li Named American Association for the Advancement of Science Fellow
Li, who also holds an appointment in the Department of Computer Science, was recognized “for distinguished contributions to the hardware design and implementation of machine learning algorithms, their translation to industrial practice, related educational endeavors and service to the profession.”
Fellowship in AAAS, one of the world’s largest general scientific societies and publisher of the Science family of journals, is a distinguished lifetime honor within the scientific community.
“This year’s AAAS Fellows have demonstrated research excellence, made notable contributions to advance science, and delivered important services to their communities,” said Sudip S. Parikh, AAAS chief executive officer and executive publisher of the Science family of journals. “These Fellows and their accomplishments validate the importance of investing in science and technology for the benefit of all.”
These Fellows and their accomplishments validate the importance of investing in science and technology for the benefit of all.
Sudip S. ParikhChief Executive Officer, AAAS
Li’s research focuses on the design of next‑generation computing systems, spanning neuromorphic and brain‑inspired architectures, AI hardware accelerators, memory‑centric computing, and hardware‑software co‑design. She has played a central role in bridging device‑level innovations with system‑level architectures to deliver improved performance, energy efficiency and scalability for modern computing workloads.
She is widely recognized for her important contributions to spin‑transfer torque random access memory (STT‑RAM), helping to enable its reliable operation at advanced technology nodes and contributing to its successful commercialization as an embedded memory solution. Her research also laid key theoretical foundations for mapping machine learning workloads onto nonvolatile memory architectures, influencing the design of modern AI chips.
A prolific researcher and inventor, Li has authored more than 400 technical publications and holds 79 U.S. patents. Her work has earned numerous honors, including the IEEE Edward J. McCluskey Technical Achievement Award, multiple best paper awards and international research fellowships.
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As an educator and mentor, Li has served as the primary advisor to 32 PhD students, approximately one-third of whom have secured academic positions at universities worldwide, while many others have advanced to leading roles in industry. A passionate advocate for women in technology, she dedicates significant effort to mentoring women students, postdoctoral researchers and junior faculty, helping to cultivate the next generation of innovators.
Li’s leadership extends well beyond her research contributions. She has made substantial service contributions to the academic community, serving as associate editor-in-chief and associate editor for multiple journals published by the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). She has also held prominent leadership roles, including general chair and technical program chair for numerous IEEE and ACM conferences. Notably, she is a long-standing member of the executive committee of DAC (Design Automation Conference), one of ACM’s largest and most prestigious conferences.
Li is also a fellow of the Association for Computing Machinery, Institute of Electrical and Electronics Engineers, and the National Academy of Inventors.
Duke Engineering faculty members John Dolbow, Natalia Litchinitser, Tatiana Segura and Aaron Franklin were awarded distinguished professorships from Duke University.
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