Goh' Homepage

Welcome to my homepage!

I am a data scientist, computational physicist and material scientist with research experience in predicting and understanding the physical properties of complex crystalline materials using density functional theory (DFT) and molecular dynamics (MD) simulation.

My research interests are in the area of computational condensed matter physics. My current research focuses on finding new topological materials using state-of-the-art first-principles calculations. Past research projects include study of weak antiferromagnetism in itinerant electron system, and molecular dynamics simulation of thermo-mechanical properties of perovskite materials.

I am also interested in applying machine learning in the research of materials science. One project predicts transparent conductors by learning from thousands of materials dataset. My data science and machine learning projects are available.

Have fun!