Summary
Patricia Menéndez is an experienced statistician and data scientist with eight years in academia and applied research, now serving as Assistant Professor/Senior Lecturer at the University of Melbourne. Her work spans statistical and machine learning methods for socio-environmental problems—ranging from predicting poverty using diverse data sources to hierarchical and spatio-temporal models for Great Barrier Reef monitoring. She has held leadership roles in curriculum design and research strategy, including Director of Education at Monash and membership on ACEMS’ scientific advisory committee. Fluent in R, Python and SQL and trained across Fortran, Matlab and SAS, she blends rigorous theoretical training (PhD in Mathematical Statistics, ETH Zurich) with hands-on policy-facing consulting. Colleagues value her interdisciplinary reach: she translates complex statistical methods into practical tools for scientists, policymakers and business analytics students.
8 years of coding experience
11 years of employment as a software developer
English as a foreign language, English as a foreign language at Jewel and Esk
Research student, Environmental Synthesis and Analysis, Research student, Environmental Synthesis and Analysis at Okayama University
Licentiate degree, Licentiate in Mathematics with specialization in Mathematical Statistics, Licentiate degree, Licentiate in Mathematics with specialization in Mathematical Statistics at Universidad de Valladolid
Doctor of Philosophy - PhD, Mathematical Statistics, Doctor of Philosophy - PhD, Mathematical Statistics at ETH Zurich
Spanish, English, Japanese