Summary
Adnane Ez-zizi is a Senior Lecturer in Artificial Intelligence and Course Leader for the MSc Data Science and AI at the University of Suffolk, combining eight years of academic and research experience across machine learning, statistics and experimental psychology. He builds computational models of human and machine learning, with a track record of developing Python packages and modelling textual data using biologically inspired associative learning models, LSTMs and reinforcement learning. His work spans interdisciplinary projects in psychology, biology, marketing, linguistics and education, and he has designed degree and apprenticeship programmes while supervising PhD, MSc and BSc research. Skilled in applied statistics, NLP and decision-making, he routinely applies Bayesian and mixed-effects techniques to complex behavioural datasets. Colleagues describe him as mathematically rigorous yet practical—equally comfortable writing code, designing curricula and translating cognitive theory into computational models. Based in Ipswich, UK, he actively seeks new problems where cognitive plausibility and data-driven methods intersect.
8 years of coding experience
4 years of employment as a software developer
Master’s Degree, Statistics, Distinction, Master’s Degree, Statistics, Distinction at Université Pierre et Marie Curie (Paris VI)
PgCert in Academic Practice, EDUCATION, Distinction, PgCert in Academic Practice, EDUCATION, Distinction at University of Suffolk
Bachelor’s Degree, statistical techniques, Bachelor’s Degree, statistical techniques at Université Paris Descartes
Master’s Degree, Random modelling in Finance and Statistics, Master’s Degree, Random modelling in Finance and Statistics at Université Denis Diderot (Paris VII)
Doctor of Philosophy (Ph.D.), Experimental Psychology, Doctor of Philosophy (Ph.D.), Experimental Psychology at University of Bristol
English, French, Arabic