Katie Stasaski
Research Scientist at Google DeepMind
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolKatie Stasaski is a research scientist with a Ph.D. from UC Berkeley and 12 years of experience specializing in program synthesis, NLP for education, dialogue systems, and question generation. She has moved between industry research labs—most recently Google DeepMind and Salesforce Research—bringing academic rigor to applied problems and production-ready ML models. Her work spans building and training transformer-based models, designing crowd- and expert-sourced datasets, and running user studies that bridge algorithmic performance with real educational outcomes. She has a strong mentorship track record from Berkeley, guiding 10+ undergraduates to co-authored publications and leading peer-support initiatives. Katie blends hands-on engineering (PyTorch, dataset pipelines, human-in-the-loop systems) with a researcher’s curiosity, often focusing on making dialogue and question generation practical for learning contexts. Based in Berkeley, she combines deep technical expertise with a demonstrated ability to translate research into deployed solutions.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, BerkeleyBachelor of Science Computer Science, Bachelor of Science Computer Science at The George Washington University
Github Skills (37)
dialogs9
conversations9
nlp8
computational-social-science8
datasets8
dialogue-systems7
deep-learning6
machine-learning6
conversation6
thai5
conversational-ai5
adversarial-learning5
translation5
neural-machine-translation5
machine-translation5
Programming languages (3)
Github contributions (5)
kstats/CIMA
May 2020 - Jul 2021
Contributions:12 commits, 10 pushes, 1 branch in 1 year 1 month
kstats/kstats.github.io
Aug 2021 - Oct 2022
Contributions:36 pushes, 1 branch in 1 year 2 months
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