Wei-Lin Chiang

Wei-Lin Chiang

Co-founder & CTO · Arena

Share

Bio

Wei-Lin Chiang is the co-founder and CTO of Arena, the leading open platform for evaluating AI through real-world human feedback. A systems builder and researcher, Wei-Lin has played a foundational role in the design, scaling, and launch of the community-driven evaluation platform.

He earned his Ph.D. in Computer Science from UC Berkeley where worked with Ion Stoica. His research focused on AI systems and evaluation. His work spans everything from efficient distributed systems to dataset curation, and model evaluation, with publications in top venues including ICLR, NeurIPS, NSDI, SIGMOD, KDD, and ICML. He was a core contributor to widely cited projects such as Chatbot Arena, LLM judge, Vicuna, and co-authored multiple open benchmarks that shape how AI models are evaluated today.

Outside of work, Wei-Lin enjoys hiking and cycling, often exploring new trails and routes as a way to unwind and stay active.

Session (1)

Additional Speaker Details

Using publicly available information we constructed an analysis to help you get a feel for this speaker before deciding to attend their session.

As Arena's co-founder and CTO, Chiang has built the actual ranking/routing infrastructure behind the industry's most-watched LLM leaderboard (Bradley-Terry-based preference modeling, real-time model routing, GPU-scale serving), so expect grounded, production-level detail on evaluating and routing frontier models rather than a high-level pitch.

Speaking style

Deeply technicalBattle-testedStoryteller

GitHub

@infwinston

Recent writing (3)

Podcasts & interviews (1)