Alexandra Chronopoulou
Senior Research Scientist at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAlexandra 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
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ludwig-Maximilians-Universität MünchenDiploma (BEng & MEng), Electrical and Computer Engineering, Diploma (BEng & MEng), Electrical and Computer Engineering at National Technical University of AthensUPC Universitat Politècnica de CatalunyaHigh School Diploma, High School Diploma at Lycee Leonin Nea Smyrni
English, French, Spanish, German, Greek
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (35)
gaussian-mixture-models10
pytorch10
artificial-intelligence10
twitter10
python10
sentiment-analysis10
emotion-analysis10
lstm10
sequence-to-sequence10
transfer-learning10
clustering10
nmt9
language-model9
ai9
nlp8
Programming languages (2)
Github contributions (5)
alexandra-chron/alexandra-chron.github.io
Sep 2019 - Apr 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:266 pushes in 6 years 8 months
alexandra-chron/hierarchical-domain-adaptation
Jul 2021 - Oct 2022
Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.
Contributions:103 commits, 8 PRs, 10 pushes in 1 year 3 months
language-modeladaptersclusteringdomain-adaptationgaussian-mixture-models
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.