Stassa Patsantzis is a PhD researcher in AI at Imperial College London specializing in Inductive Logic Programming, where she develops algorithms that learn Prolog programs from structured, relational data. With 14 years of software engineering experience across enterprise and startup environments, she blends symbolic ML research with practical data science and NLP work in Python. Her background spans big‑iron mainframe engineering, payments and EMV protocols, and modern web and scripting stacks, giving her a rare fluency between legacy systems and contemporary ML tooling. She has industry experience building NLP models for a US startup and has deep familiarity with probabilistic and Bayesian methods alongside neural approaches like CNNs and LSTMs. Comfortable coding in Prolog, Python, Java, C# and more, she treats logic programming as her “private definition of heaven,” applying it to real-world data problems. Based in the Brighton area and funded by an Imperial Engineering scholarship, she bridges rigorous academic research with production-minded engineering.
14 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Artificial Intelligence, Merit, Master of Science (MSc), Artificial Intelligence, Merit at University of Sussex
Computer Science BsC (Hons), Computer Science, 2:1, Computer Science BsC (Hons), Computer Science, 2:1 at University of Brighton
Contributions:1 review, 248 commits, 3 PRs in 6 months
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Stassa Patsantzis - PHD Research Student at Imperial College London