Assistant Professor
Research Interests Include:
- Developing a multiscale and multiphysics computational framework to investigate the underlying mechanism of inflammation-induced thrombosis in infectious diseases, such as COVID-19
- Application of machine learning techniques, such as physics-informed neural networks and convolutional neural network, to complement computational biology and biomedical imaging process
- Developing multiscale predictive models to simulate thrombus formation and evaluate the 2 thrombus biomechanics in micro and macro-aneurysms
- Developing multiscale-multiphysics red blood cell modeling framework to bridge the molecular defects and the clinical manifestations of diseased red blood cells in various blood disorders
- Organ-specific modeling of red blood cell filtration function of the human spleen
- Multiscale modeling biological filaments with applications in sickle cell disease and Alzheimer disease