Computer Science @ NTU Singapore
Ariq Koh
Researching quality-diversity optimization, evolutionary algorithms, and how LLMs can drive search for diverse, high-performing solutions in design spaces.
About
Education
Nanyang Technological University
B.Computing in CS, Turing AI Scholars Programme
cGPA: 4.65/5.00 (First Class)
2024 – 2028
Victoria Junior College
GCE A-Levels, AAA/A (88.75/90 RP)
2020 – 2021
Experience
Research Mentorship
Aug 2025 – Present
NTU URECA
LLM-based QD emitters for generative design exploration using pyribs, Shap-E, and BLIP-2.
Research Intern
Jun – Dec 2025
Alibaba-NTU ANGEL Lab
Black-box automatic prompt optimization framework using multi-agent evolutionary strategies.
Publications
QD-LLMs: Quality Diversity Optimization with LLMs for Generative Design Exploration
First Author · In Review – GECCO 2026 Workshop
Technical Skills
Leadership
Recreation & Welfare Director
NTU TAISP Club
Nov 2024 – Sep 2025