2022 - Current

Doctor of Philosophy in Materials Science

• Minor in Theoretical and Computational Chemistry

2022 - 2025

Master of Science in Applied Mathematics

2015 - 2017

Master of Science in Mechanical Engineering

• Thesis supervised by Professor Mei-Jiau Huang:

An investigation of the thermal boundary resistance associated with the twin boundary in bismuth telluride in use of the non-equilibrium molecular dynamics simulation

2010 - 2015

Bachelor of Science in Geosciences

2025 - Current

ACP Collaborator - Quantum Simulation Group

• Modeling the hydroborate salt based solid-state electrolyte.

Summer Intern - Computational Chemistry and Materials Science (CCMS)

• Modeling the solid-state electrolyte (SEs) materials for Li/Na battery.

• Machine-Learning forced field (MLFF) development.

2022 - Current

Graduate Research Fellow

• Computational materials science and multiscale modeling.

• Defects chemistry and physical chemisty in oxides.

2019 - 2022

Research Assistant

• Implemented and enhanced training procedures for the artificial neural network (ANN) force field by using TensorFlow, VASP, and LAMMPS.

• Investigated the mechanical and chemical properties of functional materials with machine-learned interatomic potential and reinforcement learning.

2018 - 2019

R&D Engineer

• Developed relational blockchain frameworks based on the PostgreSQL database and Practical Byzantine Fault Tolerance (PBFT) consensus algorithm.

• Developed encryption algorithms and applications for evidence preservation and digital data forensics.

2018

Firmware Engineer

• Developed and maintained firmware for a battery management system (BMS) in energy storage devices.