Melvyn Weeks

Dr Melvyn Weeks serves as a University Senior Lecturer, Director of Teaching, and Director of Undergraduate Studies at the Faculty of Economics, University of Cambridge. His academic leadership spans curriculum development and student supervision within one of the world's leading economics departments.

Specializing in Microeconometrics, Causal Inference, and Machine Learning, Weeks' research bridges advanced statistical methodology with real-world economic applications. His work prominently features in energy economics (analyzing consumer behavior in prepayment energy systems), development economics (examining microcredit impacts and religious institution effects in India), and economic growth theory (addressing model uncertainty in convergence clubs).

Publication trends reveal a consistent integration of machine learning techniques with traditional econometric frameworks, particularly in causal tree estimation for heterogeneous treatment effects and robust model averaging approaches. His recent work demonstrates growing emphasis on machine learning applications in economics, causal inference methodologies, and distributional analysis across diverse economic contexts.

As a doctoral supervisor, Weeks mentors PhD candidates including Christian Tien (focusing on causal inference and machine learning applications) and Cheuk Fai Ng (specializing in cluster-robust inference for high-dimensional regression). His teaching portfolio spans foundational statistical inference through advanced topics including machine learning in economics, causal inference, and research computing.

Based at Clare College with office in Room 60, Weeks maintains active research collaboration through the Faculty of Economics' Econometrics Research Group, contributing to Cambridge's reputation in quantitative economic analysis.