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Sheng Lin-Gibson (Fed)

Dr. Sheng Lin-Gibson is the Chief of the Biosystems and Biomaterials Division at the National Institute of Standards and Technology (NIST), where she leads a multidisciplinary team advancing measurement science and standardization for emerging biotechnology and advanced biomanufacturing. Her Division develops robust measurement methods, reference materials, and data standards that ensure the quality, safety, and integrity of biotechnology and biomanufacturing, supporting synthetic biology, advanced therapies, precision medicine, and complex microbial systems, as well as foundational capabilities that strengthen biosafety and biosecurity. Dr. Lin-Gibson also plays a pivotal role in enabling the convergence of biotechnology and artificial intelligence (Bio+AI), championing high-quality biological data and trustworthy analytical frameworks that accelerate innovation. Recognized for her leadership in international standardization, she chairs the ISO/TC 276: Biotechnology, SC1: Analytical Methods and has contributed to numerous international standards. She has co-authored more than 120 peer-reviewed publications. Dr. Lin-Gibson has been widely recognized for her contributions to biotechnology standardization and measurement assurance, earning three Department of Commerce Gold Medals and a Gear of the Government Award.

More information about BBD:
About BBD 
Primary focus areas
Standards to Advance the Bioeconomy
Biosecurity for Synthetic Nucleic Acid Sequences

Awards

  • Gears of Government Award: Biotechnology Standards Leadership (2019)
  • Department of Commerce (DoC) Gold Medal Award: (2022, 2021, 2019)
  • Department of Commerce (DoC) Bronze Medal Award: (2017, 2014, 2011)
  • NIST Sigma Xi Young Investigator Award (2011)
  • NIST/NRC Postdoctoral Research Fellowship

View Publications

Selected Publications

A Call for Built-In Biosecurity Safeguards for Generative AI Tools

Author(s)
Mengdi Wang, Zaixi Zhang, Amrit Singh Bedi, Alvaro Velasquez, Stephanie Guerra, Sheng Lin-Gibson, Le Cong, Megan Blewett, Yuanhao Qu, Jian Ma, Eric Xing, George Church, Souradip Chakraborty
The rapid adoption of generative AI (GenAI) in biotechnology offers immense potential but also raises serious safety concerns. AI models for protein engineering

AI and Flow Cytometry

Author(s)
Dawei Lin, Anupama Gururaj, Sheng Lin-Gibson, Lili Wang
Artificial intelligence (AI) and machine learning (ML) are transforming biotechnology and playing a key role in bioeconomy. One of the most important

Toward a common standard for data and specimen provenance in life sciences

Author(s)
Rudolf Wittner, Petr Holub, Cecilia Mascia, Francesca Frexia, Heimo Müller, Markus Plass, Clare M Allocca, Fay Betsou, Tony Burdett, Ibon Cancio, Adriane Chapman, Martin Chapman, Mélanie Courtot, Vasa Curcin, Johann Eder, Mark Elliot, Katrina Exter, Carole Goble, Martin Golebiewski, Bron Kisler, Andreas Kremer, Simone Leo, Sheng Lin-Gibson, Anna Marsano, Marco Mattavelli, Josh Moore, Hiroki NAKAE, Isabelle PERSEIL, Ayat Salman, James Sluka, Stian Soiland-Reyes, Caterina Strambio De Castillia, michael sussman, Jason Swedlow, Kurt Zatloukal, Joerg Geiger
Open and practical exchange, dissemination, and reuse of specimens and data have become a fundamental requirement for life sciences research. The quality of the
Created August 28, 2019, Updated December 15, 2025
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