"It feeds on negative entropy."
― Erwin Schrodinger, What is Life
― Erwin Schrodinger, What is Life
Senior Postdoctoral Associate
Department of Mechanical Engineering, Massachusetts Institute of Technology
I am currently a senior postdoctoral associate working on medical device design in Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT), and I obtained my PhD degree from Brown University. My major research interests reside in developing computational and engineering tools to control the fate of biological entities like bacteria, cells, tissues, and organs and as such build novel medical strategies.
An overarching goal of my academic career is to understand the driving force underlying the fate, form, and function of biological systems. Given their systematic complexity, I always hold the faith that a combination of theoretical, computational, and experimental methodologies is a necessary foundation for rationalizing emerging properties and behaviors in biomedical systems, which thus defines the path I have taken since I was a graduate student. I obtained my PhD degree in mechanical engineering at Brown University, where I worked on various projects that focused on bio-systems ranging from bacterial membrane to human heart through theories and simulations in Prof. Huajian Gao's group (more details can be found on the research page). In these projects, we investigated how the behaviors of tissues and organisms can be engineered through mechanical stimuli/perturbations. Our work established a cornerstone for future strategies of developing drugs and therapies against bacterial infection and myocardial infarction.
Upon the completion of my PhD work, I start to wonder if we can modulate the fate and health of biological bodies on a more immediate level. I first joined the Integrated Biosystems and Biomechanics Laboratory directed by Prof. Jianping Fu at University of Michigan, where I worked on experimentally developing microfluidic devices and micro-patterning protocols to recapitulate the early human embryo development in-vitro using human pluripotent stem cells. I analyzed the scRNA-seq and the imaging datasets generated from in vitro models through machine learning-based algorithms and constructed a mathematical model to theorize the spine segmentation. I then joined the Laboratory for Translational Engineering let by Prof. Giovanni Traverso at MIT and work on design of medical devices that facilitate drug delivery.
Throughout my career, I persistently aspire to acquire expertise in both theories and experiments, and the future goal is further integrating both physics-based and data-driven methods to push the boundaries of human knowledge in medical sciences and health technologies.