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Research Interests
Jingjie Yeo’s research focuses on interdisciplinary studies of material and biological phenomena by advancing multiscale, multi-physics computational methods and simulations. He aims to characterize and predict the mechanical, chemical, optical, and electrical structure-function relationships of polymers, bio-polymers, and bio-inspired materials of various morphologies. With additional techniques from machine learning and computational biology, he investigates phenomena related to the human microbiome as a living material for engineering purposes. Through his research, he will propel the development of dynamically-responsive materials and design synthetic biological platforms for engineering and medical applications.
Jingjie Yeo’s research focuses on interdisciplinary studies of material and biological phenomena by advancing multiscale, multi-physics computational methods and simulations. He aims to characterize and predict the mechanical, chemical, optical, and electrical structure-function relationships of polymers, bio-polymers, and bio-inspired materials of various morphologies. With additional techniques from machine learning and computational biology, he investigates phenomena related to the human microbiome as a living material for engineering purposes. Through his research, he will propel the development of dynamically-responsive materials and design synthetic biological platforms for engineering and medical applications.
研究兴趣
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International Journal of Biological Macromoleculespp.131434-131434, (2024)
APL MATERIALSno. 2 (2024): 021107-021107-13
ACS biomaterials science & engineeringno. 7 (2023): 3725-3728
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ACS biomaterials science & engineeringno. 1 (2023): 269-279
Artittaya Boonkird,Nathan Drucker,Manasi Mandal,Thanh Nguyen,Jingjie Yeo, Vsevolod Belosevich,Ellan Spero, Christine Ortiz,Qiong Ma,Liang Fu,Tomas Palacios,Mingda Li
arXiv (Cornell University) (2023)
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Anna Bachs-Herrera, Daniel York, Tristan Stephens-Jones,Ian Mabbett,Jingjie Yeo,Francisco J. Martin-Martinez
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Journal of the Mechanical Behavior of Biomedical Materials (2023): 106127-106127
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