At the Microscale Thermo-Fluid Laboratory, we study fundamental aspects in fluidic, thermal, chemical, electrochemical and biological systems. Our goal is to develop novel mathematical models and numerical methods for emerging problems. We are particularly interested in developing model systems for which experimental observations are either impossible or impractical. Our computational techniques range from artificial intelligence based machine learning to molecular-based to simulation tools to continuum based predictive methods. Currently, we are working on drug delivery in the blood-brain barrier, drug design in multi-drug resistant bacteria, electrokinetic flow and separation, self-assembly of particles, electrodeformation of bio-vesicles, and signal transduction in neurons. For details about our ongoing research work, please visit our research pages.