معرفی
Sanghyeok Choi is a PhD student in Informatics at the University of Edinburgh, supervised by Nikolay Malkin. His research focuses on deep learning, generative models, and probabilistic inference, with applications in AI Safety and AI for Science. His studies are funded by ARIA and CIFAR, supported by the Global Korea Scholarship.
- Education: PhD in Informatics (University of Edinburgh, 2025–current), MS in Industrial & Systems Engineering (KAIST, 2023–2025), BBA and BS in Industrial Engineering (Seoul National University, 2017–2023).
- Experience: Research Intern at Mila (2024–current), Undergraduate Researcher at KAIST and Seoul National University labs, and Machine Learning Research Engineer at MakinaRocks.
Research Interests: Generative Flow Networks, structure learning, and reinforcement learning with applications in biological sequence design, molecular optimization, and HVAC systems. His work combines deep learning with combinatorial optimization to solve NP-hard problems using AI-driven frameworks.
Scientific Trends: Recent publications emphasize GFlowNets for combinatorial/molecular optimization, transformer-based routing solutions, and reinforcement learning in energy systems. Key themes include AI for science, equity-aware algorithms, and genetic-guided neural architectures.
- Scientific Awards:
- Global Korea Scholarship (2025)
- Bang Il-Young Scholarship (2018–2021)
- 1st Place in DACON AI Competitions (2020)
- Open Source Contributions:
- TorchGFn (2024–current)
- RL4CO benchmark (2023–2025)
