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Tony (Tongyun) Yang, Independent AI Researcher in Amsterdam. The scaling race is becoming a systems race; bigger models still matter, but they are not enough; what counts is how we train, route, compress, and ship them. Left my PhD fellowship this spring; open to research roles in academia or industry.
Publications: TwinRouterBench (ACM CAIS 2026), MERA (ACM CAIS 2026), Through the Eyes of Emotion (IMWUT 2025), Reverse Imaging (MICCAI 2025), Pruning nnU-Net (MIDL 2025).
Projects: LLM Router (routing benchmark with Gradient Networks, under review at NeurIPS 2026), Human Intent World Model (vision-language model for customer intent, with MeetaVista), Polymarket Decoder (self-driven order-book study of prediction markets).
Stack: python, pytorch, cuda, latex; claude code, codex, cursor, a custom harness, pi-agent, harness; vllm, sglang, ray, deepspeed; tensorflow, unity, typescript, c++, linux; react, node, docker, git.
Contact: tonyyunyang@outlook.com, github.com/tonyyunyang, scholar.google.com, tonyyunyang.github.io.
hand-built, no template ancestry · companion to tonyyunyang.github.io




