Anna Potapenko is a Research Engineer based in London with 11 years of experience at the intersection of language and biology, currently contributing to DeepMind’s research efforts. She combines a strong academic background—a PhD in Natural Language Processing and a Master’s in Computer Science from MSU—with hands-on industry work in ML and NLP from internships at Google and a data analytics role at Yandex. Her work spans interpretable neural networks, NLP for ads and assistant systems, and applied machine learning pipelines, reflecting both research rigor and production-minded engineering. Comfortable moving between theory and implementation, she has a track record of turning complex language models into interpretable, usable systems. Colleagues describe her as quietly effective: she prefers email over social media for professional contact and focuses on delivering substantive technical results.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at Higher School of Economics
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