Summary
Yoichi Ishibashi is a researcher at NEC’s Data Science Research Laboratories focused on coding agents and self-improving large language models, with eight years of experience bridging academic and industrial AI research. He has driven work on scalable multi-agent context distribution, iterative algorithm discovery with reinforcement learning (NAACL 2025), and automation of LLM development pipelines (EMNLP 2025), aiming to make AI automate technological development itself. His background includes postdoctoral and research roles at Kyoto University and Nara Institute of Science and Technology, plus a visiting stint at the University of Liverpool on prompt learning, reflecting strong cross-institutional collaborations. Based in Kyoto, he combines deep pretraining innovations—such as domain-agnostic methods for instilling reasoning—with practical systems engineering to push LLMs toward autonomous improvement. An underappreciated strength is his focus on end-to-end automation of model workflows, not just model performance, positioning him to translate research breakthroughs into deployable development pipelines.
8 years of coding experience
4 years of employment as a software developer
Doctor of Engineering, Information Science, Doctor of Engineering, Information Science at Nara Institute of Science and Technology
Bachelor of Computer Science, Bachelor of Computer Science at Kyoto Sangyo University
Japanese, English