Andreas Varvarigos

Machine Learning, Multimodal Learning, and Networks

About Me

I am a second year Ph.D. student in Electrical and Computer Engineering at Yale University under the supervision of Prof. Leandros Tassiulas. My current research focuses on Large Language Models (LLMs) and multimodal foundation models, including time-series models, and on extending and aligning them through post-training reinforcement learning and geometric and graph-structured representations, with applications in network observability and finance.

Multimodal Learning Time Series Deep Learning Foundation Models Large Language Models Graph Learning

Recent Updates

News

  • April 2026: "TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis" was accepted in ICML 2026.
  • November 2025: "LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks" was accepted in KDD 2026.
  • August 2024: Started my Ph.D. journey at Yale University.
  • July 2024: Completed my M.Eng. in Electronic and Information Engineering at Imperial College London.