About me

I am a second-year PhD student in the Department of Computing at Imperial College London advised by Prof. Peter Pietzuch. Before starting my PhD studies, I received in 2023 a Diplôme d’Ingénieur from CentraleSupélec and an MSc. in Advanced Computing from Imperial College London.

I am also a member of the Large-Scale Data & Systems (LSDS) group. If you are interested in presenting your research at LSDS, or discussing potential collaborations, please feel free to reach out.

I am actively seeking PhD internship opportunities.

Research

My research focuses on designing efficient and scalable systems for LLM applications — in particular LLM pre-training (parallelization, heterogeneity, fault-tolerance) and serving agentic applications.

Publications

• Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization
  Yanda Tao, Pedro Silvestre, Marcel Wagenlander, Peter Pietzuch
  arXiv preprint, Poster presented at EuroSys’26.
• MegaLog: Heterogeneous Fault Tolerance for Efficient LLM Training
  Pedro Silvestre, Yanda Tao, Marcel Wagenlander, Otto White, Peter Pietzuch, 2026
  under review.
• Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines
  Marcel Wagenländer, Otto White, Britannio Jarrett, Pedro Silvestre, Yanda Tao, Guo Li, Huanzhou Zhu, Lluís Vilanova, Peter Pietzuch, 2026
  arXiv preprint, under review.