Alexandra Chronopoulou is a Senior Research Scientist at Google DeepMind with eight years of industry and research experience focused on LLM post-training and instruction following for both agentic and language-generation use cases. She holds a PhD in Computer Science from LMU Munich, where her thesis advanced parameter-efficient transfer learning for multilingual NLP and domain adaptation under advisor Alex Fraser. Alexandra’s background spans top research labs and industry internships (DeepMind, Google, AWS, AI2), blending applied ML engineering with rigorous academic research. Based in New York, she brings an unusual combination of multilingual transfer expertise and practical deployment experience in large-scale models, often optimizing for instruction responsiveness rather than just raw perplexity.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Ludwig-Maximilians-Universität München
Diploma (BEng & MEng) Electrical and Computer Engineering , Diploma (BEng & MEng) Electrical and Computer Engineering at National Technical University of Athens
UPC Universitat Politècnica de Catalunya
Primary Middle and High School, Primary Middle and High School at Leonteio Lykeio Neas Smirnis (Greek-French School)
Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.
Contributions:69 commits, 33 pushes, 1 comment in 1 year 11 months
pytorchnlppythondeep-learninglstm
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Alexandra Chronopoulou - Research Scientist at Google DeepMind