Agnieszka Słowik is a Senior Data Scientist and Cambridge-trained PhD in Machine Learning with a decade of experience translating rigorous research on out-of-distribution generalisation, fairness and robust AI into industry R&D at Microsoft and prior visits at Facebook AI and Mila. She combines deep theoretical work—multiple peer-reviewed papers and a CVPR acceptance—with hands-on engineering across Azure Core, multi-modal foundation models and healthcare applications. Her research spans inductive biases for multi-agent communication, visual reasoning and causal discovery, and she has a track record mentoring students and turning academic ideas into practical prototypes. Notably, she has bridged academia and industry through recurring visiting roles and collaborations with leading labs, often focusing on standardised evaluation methods that make model comparisons more reproducible. Based in London, she is motivated by well-scoped, high-impact problems where principled ML meets deployable systems.
10 years of coding experience
7 years of employment as a software developer
Master's degree (Erasmus exchange) Computer Science, Master's degree (Erasmus exchange) Computer Science at École normale supérieure de Lyon
Master's degree (Distinction) Data Science, Master's degree (Distinction) Data Science at The University of Edinburgh
The August Witkowski 5th High School
Bachelor of Engineering - BE Acoustic Engineering, Bachelor of Engineering - BE Acoustic Engineering at AGH University of Krakow
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Cambridge
Master's degree Computer Science, Master's degree Computer Science at Jagiellonian University
english (cae b, ielts 8.0), German, Italian, French
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