Summary
Hanbum Ko is an AI researcher and PhD student with 8 years of experience applying combinatorial optimization and reinforcement learning to real-world problems. Currently pursuing doctoral studies at Korea University after a master’s at UNIST, he has contributed to molecular foundation models and AI-for-Science research at LG AI Research. His hands-on background includes DARPA-style virtual air combat environments, drone swarm prototyping on edge devices, and developing custom Gym environments and 3D spatial modules. He won a Best Paper Award for a deep-learning super-resolution project during his undergraduate studies, demonstrating an early aptitude for translating research into impactful results. Comfortable bridging academia and industry, he blends systems-level engineering with theoretical rigor and practical experimentation. Based in South Korea, he brings uncommon operational experience—from VR-integrated data collection to security service at the JSA—that informs his disciplined, application-focused approach to AI research.
8 years of coding experience
2 years of employment as a software developer
Junior, Major : Computer Science Engineering, Minor : Statistics, Junior, Major : Computer Science Engineering, Minor : Statistics at Chungnam National University
Doctorate, Artificial Intelligence, Doctorate, Artificial Intelligence at Korea University
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Ulsan National Institute of Science and Technology
English, Korean