Summary
Geonu Kim is a Staff Researcher in Seoul with 11 years of experience applying deep learning to materials and semiconductor problems, specializing in ML interatomic potentials and graph-based surrogate models. He holds a PhD in Materials Science from Carnegie Mellon (GPA 3.99) and an MS in Computer Science from Georgia Tech (4.00), blending rigorous materials expertise with top-tier ML training. At Samsung Electronics he translates cutting-edge research into industrial semiconductor applications, while his academic record and early research roles reflect strong fundamentals in both theory and experiment. Notably, his work bridges atomistic modeling and scalable graph ML, enabling faster materials prediction workflows that are directly relevant to device engineering.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, GPA: 4.00/4.00 (Cumulative), Master's degree, Computer Science, GPA: 4.00/4.00 (Cumulative) at Georgia Institute of Technology
Bachelor of Science - BS, Materials Science and Engineering, GPA: 3.96/4.00 (Cumulative), 4.00/4.00 (Major); Cumulative rank: 2nd out of 129, Bachelor of Science - BS, Materials Science and Engineering, GPA: 3.96/4.00 (Cumulative), 4.00/4.00 (Major); Cumulative rank: 2nd out of 129 at Hanyang University
Doctor of Philosophy - PhD, Materials Science and Engineering, GPA: 3.99/4.00 (Cumulative), Doctor of Philosophy - PhD, Materials Science and Engineering, GPA: 3.99/4.00 (Cumulative) at Carnegie Mellon University
English, Korean