Ki-Ung Song

About

Hello, I'm Ki-Ung Song. My dream is to change the world through problem solving.

"All life is problem solving." -Karl Popper-

In any role, whether as an engineer, researcher, or beyond, I strive to be a problem solver, harnessing my strengths in AI and mathematics to make a meaningful impact.

I majored in mathematics because I enjoyed it and initially aimed to become a quant. However, witnessing AlphaGo during my freshman year led me to explore broader challenges, deepening my studies in mathematics and its applications and recognizing how AI and mathematics can drive meaningful impact.

I have a deep interest in diverse fields of AI, spanning both theoretical foundations and practical applications. I focus on tackling real-world challenges and creating tangible impact through AI.

My current interests are:

LLM & VLM Application with Model Compression
DL for Simulation
AI for Finance

I am currently an AI Research Engineer at Nota AI, working to make AI more accessible and efficient. I focus on optimizing AI models to bridge the gap between research and real-world applications.

I believe in lifelong curiosity and continuous growth. This mindset drives me to embrace challenges, explore new ideas, and push my boundaries.

Education

Seoul National University

Sep 2020 - Aug 2022
M.S. in Mathematical Sciences
GPA: 4.23/4.3
- College of Natural Sciences Master's Program Valedictorian

Seoul National University

Mar 2016 - Aug 2020
B.S. in Mathematical Sciences
- Minor in Industrial Engineering
GPA: 3.85/4.3
- Graduated Cum Laude

Contact

I am best reached by email at sk851@snu.ac.kr. Feel free to contact me about my project, research or anything I can help with. You can also find me on GitHub, Google Scholar, and LinkedIn for more information.

Ki-Ung Song

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Education

Seoul National University

Seoul National University

Contact

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