I'm a research assistant with the Centre for the Study of African Economies at the Blavatnik School of Government. My research interests are in computational econometrics and machine learning for causal inference with applications to development and environmental economics.
In my spare time, I teach statistics through the Data, Economics and Development Policy Program at MIT and am putting together a MOOC focused on introductory EA ideas.
I'm currently uncertain about whether I should pursue a PhD in economics, or refocus on causal ML applications and understanding AI causal reasoning. If you have insights here I'd be very keen to chat!
I've done the circuit of economics research assistantships (1 at the University of Sydney, 2 at MIT and 1 at Oxford University) so can talk people through the RA market and the PhD application process if this is something they are seriously considering. Please feel free to reach out to me here.