Ekaterina Garmash
Research Scientist at Spotify
United Kingdom
Summary
👤
Senior🎓
Top SchoolEkaterina Garmash is a research scientist with a decade of experience applying machine learning to language and program analysis, currently driving research at Spotify. She holds a PhD in Computer Science from the University of Amsterdam with a strong background in statistical and neural machine translation and has productionized MT systems at Unbabel and research-driven R&D at Huawei. Her career blends academic rigor—from intern roles at Microsoft and Amazon and a PhD— with hands-on industry impact in airline operations optimization and deployed ML services. Comfortable moving models from research to production, she brings deep expertise in NLP, logic, and linguistics informed by study at MSU and UvA. An understated strength is her track record of translating theoretical insights into practical, scalable systems across diverse domains.
10 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 University of AmsterdamMaster, Logic, Master, Logic at Universiteit van Amsterdam / University of AmsterdamLomonosov Moscow State University
English, Russian, German, French, Ukrainian, Dutch
Github Skills (16)
static-analysis7
machine-learning-algorithms6
machine-learning6
analyzer6
java5
data-science4
static-analyzer4
code-analysis3
static-code-analysis3
python3
javascript3
program-slicing3
cpp2
slicing1
pytorch1
Programming languages (2)
Github contributions (5)
KatGarmash/KatGarmash.github.io
Jul 2015 - Feb 2016
Contributions:66 pushes in 6 months
KatGarmash/iccq2021_experiments
Mar 2021 - Mar 2021
Contributions:2 pushes, 1 branch in 23 days
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