• Discovered the molecular mechanisms behind spontaneous surface charge separation in room-temperature ionic liquid supercapacitors through carefully designed MD simulations using LAMMPS• Developed the method and code for the Gaussian core model with smeared electrostatic interactions to efficiently simulate extremely large-scale bulk and interfacial soft matter systems using OpenMM• Program and maintain the high-performance open-source Python package MDHelper for building complex simulation systems and analyzing particle trajectories to evaluate structural and dynamical properties• Characterized the impact of an externally applied field that biases particle orientations on the motility-induced phase separation of active Brownian particles through systematic MD simulation studies using HOOMD-blue

• Designed and performed experiments with diverse gas chemistries in multiple patterning steps to improve line width roughness and maximize production throughput by eliminating processing queue times• Implemented an in situ post-plasma etch pin-up de-fume process that removes polymer buildup on the wafer backside and bevel edge to reduce defects• Established and maintained a monitoring system for dry etch tools to safeguard equipment constants from unintended or unauthorized changes and preserve high product quality• Developed R scripts to automatically retrieve data from SQL databases, and generate and update Tableau dashboards that monitor the process capability of dry etch levels

• Led lecture, recitations, and office hours for ordinary differential equations, organic chemistry, applied numerical methods, fluid mechanics, and thermodynamics courses over seven semesters/terms• Revamped solution manuals by adding detailed derivations and explanations to enrich the learning experience