I am an Assistant Professor in Environmental Economics in the Department of Geography & Environment at the London School of Economics and Political Science.
My research is mainly in the fields of economics and public policy. I study various energy and environmental topics, including electricity markets, climate change, air pollution and the political economy of clean energy.
My teaching covers a range of areas related to environmental economics, empirical methods and policy appraisal. In my instruction I consistently emphasise how a hands-on understanding of econometrics and data science can play a critical role in driving strong, evidence-led policy decision-making.
I earned my PhD at UC Berkeley’s Energy & Resources Group where I was also a Researcher at the Energy Institute at Haas. My postdoc was at the University of Mannheim and I also previously worked in policymaking as an economist at the UK’s energy regulator.
PhD Energy & Resources, 2020
University of California Berkeley
MS Energy & Resources, 2017
University of California Berkeley
BSc Economics & Economic History, 2012
London School of Economics and Political Science
Highlighted Work
PDF PDF (EI@Haas) PDF (CRC) Blog (EI@Haas) Blog (Breakthroughs) Policy Brief (Warwick) Discussion (Tortoise) Policy Brief (SNS)
PDF (JEEA) PDF (NBER) PDF (EI@Haas) Blog (EI@Haas) Press (Forbes) Press (FT Alphaville) Press (Grist) Press (BBC)
PDF (Global Environmental Change) Blog (EI@Haas) Press (Economist) Press (Washington Post)
Selected Other Work
This course is an undergraduate level introduction to economic principles in the analysis of environmental change and natural resource use. My teaching on this course focuses on topics related to cost-benefit analysis and environmental valuation; stated and revealed preferences methods; sustainable development; biodiversity; and energy markets.
This is a postgraduate course that provides an introduction to quantitative methods in use in modern environmental and resource economics. Emphasis is on causal inference and regression-based methods, including key empirical designs (e.g. fixed effects, instrumental variables, regression discontinuity, difference-in-differences etc.). We also cover additional topics of interest, such as machine learning. Students learn how to apply these methods in R.
This is a postgraduate course that covers the use of applied economics in the context of project appraisal and policy evaluation. My teaching on this course focuses on topics related to related to cost-benefit analysis and environmental valuation; stated and revealed preferences methods; and the use of program evaluation in policymaking. I also host a panel discussion with experts from industry, consulting and government.