Our lab focuses on a single, complex issue: the rapid aging of the global human population.
The United Nations estimates that by 2020, the number of people under the age of 5 will be
outnumbered by those over 65.
The World Health Organization projects that rapid global aging will severely exacerbate the
burden of noncommunicable diseases for populations who can least afford treatments.
Therefore, humanity urgently needs to dramatically improve the prevention and treatment of these diseases,
especially by developing soft, adaptive, and responsive biomaterials at a low cost
for drugs or drug delivery vehicles with specific targeting mechanisms,
environmentally sensitive implants for tissue engineering, or for dynamic health monitoring.
We will achieve this vision through interdisciplinary studies of material and biological
phenomena by advancing multiscale, multi-physics computational methods and simulations.
We aim 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, we investigate
phenomena related to the human microbiome as a living material for engineering purposes.
Through our research, we will propel the development of dynamically-responsive, living materials and
design synthetic biological platforms for engineering and medical applications.
Before joining Cornell University in 2020, Prof. Jingjie Yeo was a research scientist in the
Institute of High Performance Computing, Singapore. As a co-PI, he worked on developing cutting-edge,
silk-based cosmeceuticals. He also collaborated closely with Procter & Gamble for molecular dynamics (MD)
modeling of keratins and pigment cells. Prior, he was a postdoc at both Tufts University and
Massachusetts Institute of Technology, where he developed and performed numerous multiscale simulations
with density functional theory (DFT) and fully-atomistic to coarse-grained MD modeling on a broad variety of
biomaterials such as squid skin, silk and silk-elastin-like proteins, and graphene. He is a co-instructor in
Station1, a social nonprofit organization dedicated to building the foundations
of the university of the future through educational opportunity and socially-directed frontier STEM education,
research, and internships. He received his Ph.D. and his B.Eng. degrees from Nanyang Technological University Singapore.
2020: Editor-in-Chief, STEM Education, the official journal for STEM education of the American Institute of Mathematical Sciences (AIMS)
2019: Editorial Board Member, International Journal of Applied Mechanics
2018: Early Career Editorial Advisory Board, ACS Biomaterials Science & Engineering.
Featured on: ACS Axial
2017: Editorial Board Member, International Journal of Computational Materials Science and Engineering
Awards and Honors
2020: Co-PI: NSF BMMB Grant #2038057 “A Multiscale Investigation of Fatigue Induced Damage Progression in Tendon”
2020: PI: Cornell China Center ZJU-Cornell Joint Seed Fund “Multistimuli-responsive silk-elastin-like protein hydrogels for dynamic biomaterials”
2020: Emerging Investigators – RSC Journal of Materials Chemistry B
2016: Most Inventive Business Idea (Massachusetts Institute of Technology Innovation@ONE
Boot Camp and Business Plan Pitch).
Featured on: MIT News.
2016: Best Industry Project Award (Institute of High Performance Computing, Singapore)
2016: Postdoctoral Fellowship (A*STAR Graduate Academy, Singapore)
2010: Graduate Scholarship (A*STAR Graduate Academy, Singapore)
Chenxi Zhai is from Qingdao, China, and he is a postdoctoral scholar in our group. He obtained his Bachelor's degree from the University of Jinan,
his Master's Degree from Tianjin University, and his Doctoral degree from Florida State University.
His research interests are in multiscale computational materials design and molecular mechanics/dynamics,
especially in the slow dynamics of polymeric materials. In his spare time, he has broad interests in soccer,
football, table tennis, fitness, economy and history, thrillers, and chess.
He was a professional 400-meter race athlete when he was 18 (national rank level-3, < 56s).
Haoyuan Shi's LinkedIn
Haoyuan Shi is a Ph.D. student ('24) in our group. He received his Bachelor’s degree in Energy and Power Engineering
from Tianjin University in 2019. His research interests are in multiscale computational modeling of biomaterials and
he is currently working on modeling protein-based biomaterials, such as regenerated silk and silk-based materials.
Outside of his research, he enjoys watching basketball games, traveling, and playing video games.
Tianjiao Li's LinkedIn
Tianjiao Li is from Shaanxi, China, and he is a Ph.D. student ('24) in our group.
He obtained his Bachelor's degree in Mechanical Engineering
from Xi'an Jiaotong University in 2017, and his Master's degree in Mechanical Engineering from
Northwestern University in 2019. His research interests are in machine learning/deep learning in
materials informatics, multiscale simulations, and data-driven material design and discovery.
In his free time, he likes to cook, work out, and play video games. He is a big fan of the Nintendo game franchises.
He also enjoys reading about the practical philosophy of logic, epistemology, and history.
Liming Zhao's LinkedIn
Liming Zhao is a Ph.D. student ('25) in our group. He received his Bachelor's degree in Materials Science and Engineering
in 2019 from Southern University of Science and Technology, a young and rapidly ascending university located in Shenzhen,
China’s Silicon Valley. He then obtained his Master's degree in Materials Science and Engineering from
University of California, Irvine, in 2020. His research interests lie in the exploration of the aggregation and
mechanical properties of complex biomaterial systems by multiscale computational simulations and stochastic process
methods. Beyond his research, he enjoys cooking and baking.
Rossie Luo is currently an MPS student in food science with a research focus on sensory impact of yeast and bacteria
fermentation. She has a strong interest in microbiology and polymer science, and hopes to understand more about
biofilm formation and antimicrobial surface engineering through computer simulation.
Outside of school, she enjoys cooking/baking, home brewing, watching movies, painting, playing tennis and running.
George Orellana is a second semester M.Eng student with an interest in utilizing software engineering to solve
complex problems in the mechanical engineering field. His experience in robotics, research, and entrepreneurship has
given him an extensive skill set to solve problems and tackle modern challenges.
Isuru Herath is a second-year undergraduate student from Ellicott City, Maryland studying Chemistry and Computer Science.
His research interests are in drug delivery and using machine learning and molecular dynamics simulations to study
protein-protein and protein-ligand interactions. In his free time, he enjoys drawing, playing the saxophone, and running.
Dayton Shor was a M.Eng. student in our group working on platforms for extracting data from materials databases
and performing machine learning to assist our group in developing novel, soft biomaterials.
He is now in industry as a data scientist.
Colin Whitten is from Stuttgart, Germany, and he was a M.Eng. student in our group.
He obtained his Bachelor's degree in Civil Engineering from Cornell University in 2019.
His research interests are in performing machine learning to assist our group in molecular dynamics simulations.
In his spare time he enjoys playing basketball and guitar.