Roberta Rocca
Research Scientist at Google
London, England, United Kingdom
Summary
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Top SchoolRoberta Rocca is a research scientist at Google with eight years of experience bridging machine learning, NLP, and cognitive science, specializing in modeling human behavior and neural mechanisms. Before joining Google she held a tenure-track assistant professorship at Aarhus University and completed postdoctoral work at UT Austin, combining rigorous academic research with applied predictive analytics (including a brief fellowship at UN OCHA). She holds a PhD in Cognitive Science and dual summa cum laude degrees in Cognitive Science and Philosophy, reflecting a rare mix of computational, theoretical, and humanistic training. Roberta’s work sits at the intersection of language, cognition, and neuroscience, often translating behavioral insights into ML models that better capture human communicative patterns. Colleagues note she balances deep scholarship with practical impact—moving from culture journalism and interdisciplinary research assistantships into high-impact ML research.
7 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Aarhus UniversityBachelor of Arts - BA, Philosophy, 110/110 cum laude, Bachelor of Arts - BA, Philosophy, 110/110 cum laude at Università degli studi di PalermoMaster of Science - MS, Cognitive Science, 110/110 cum laude, Master of Science - MS, Cognitive Science, 110/110 cum laude at Università degli Studi di Trento
English, French, Danish, Italian
Github Skills (79)
multilabel-classification10
benchmark10
python10
feature-extraction10
semantic-search10
bug-reporting10
embedding10
clustering10
audio10
nlp10
sentence-embeddings10
sentence-transformers10
retrieval10
information-retrieval10
text-classification10
Programming languages (6)
Github contributions (5)
rbroc/rbroc
Apr 2020 - May 2024
Contributions:86 pushes, 1 branch in 4 years 1 month
rbroc/pliers
Dec 2019 - Dec 2021
Automated feature extraction in Python
Contributions:2 PRs, 357 pushes, 24 branches in 1 year 11 months
extractionpythonmachine-learningfeature-extraction
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