About Me

Tagline. Algorithm–system co-design for long-context and efficient architectures.

I am an Algorithm Engineer / Research Scientist at Ant Group working on foundation models. My work lies at the intersection of algorithm design and ML systems, with a focus on making long-context models both scalable and servable in real-world deployments.

I am particularly interested in breaking the (O(N^2)) memory and compute wall of Transformers using theoretically grounded mechanisms and hardware-aware implementations. Recently I have been exploring PDE-inspired token-mixing dynamics and building evidence-first pipelines—profiling, benchmarks, and serving-style experiments—on top of stacks such as Triton and vLLM.

I received my M.S. in Computer Science from Fudan University, advised by Prof. Yu-Gang Jiang (IEEE Fellow) and Prof. Jingjing Chen, where I was part of the Fudan Vision and Learning Laboratory (FVL). Before that, I obtained my B.Eng. in Civil Engineering from Tongji University.

Research Interests

• Long-context & reasoning: inference-time scaling, KV-cache behavior, long-prefill optimization
• Efficient architectures: PDE-driven dynamics, linear/structured attention, state-space style operators
• Algorithm–system co-design: fused kernels, profiling, serving-oriented evaluation

If you are interested in collaborations on long-context efficiency or system-aware evaluation, feel free to reach out at alancurry1456@gmail.com.