Scholar
Ki-Ung Song
Google Scholar ID: O3LAPDUAAAAJ
AI Research Engineer at Nota AI
Citations & Impact
Citations
58
H-index
4
i10-index
2
Publications
4
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published articles 'Neural Solver Towards Future of Simulation: Deep Dive' (August 11, 2024) and 'Neural Solver Towards Future of Simulation: Exploration' (August 9, 2024). Involved in the LLM4Finance project since May 2023.
Research Experience
- Currently an AI Research Engineer at Nota AI, working to make AI more accessible and efficient. Focuses on optimizing AI models to bridge the gap between research and real-world applications.
Education
- Sep 2020 - Aug 2022: M.S. in Mathematical Sciences at Seoul National University, GPA: 4.23/4.3, College of Natural Sciences Master's Program Valedictorian; Mar 2016 - Aug 2020: B.S. in Mathematical Sciences at Seoul National University, Minor in Industrial Engineering, GPA: 3.85/4.3, Graduated Cum Laude.
Background
- Dreams to change the world through problem solving. In any role, whether as an engineer or researcher, strives to be a problem solver, harnessing strengths in AI and mathematics to make a meaningful impact. Initially majored in mathematics with the aim of becoming a quant, but AlphaGo inspired exploration into broader challenges, deepening studies in mathematics and its applications, recognizing how AI and mathematics can drive meaningful impact. Current interests include: LLM & VLM Application with Model Compression, DL for Simulation, AI for Finance.
Miscellany
- Believes in lifelong curiosity and continuous growth, which drives him to embrace challenges, explore new ideas, and push his boundaries.
