Dr. Nathan Lane (Oxford): An applied empirical economist passionate about machine learning and causal inference

Skills

Big DataCausal inferenceEconometricsEconomicsGitHuggingFaceMachine LearningOCRPythonPyTorchScikit-learnShell scriptingSQLStatistical modeling

Bio

Nathan is an Associate Professor in Economics at Oxford University and a Tutorial Fellow at Merton College, Oxford, currently based in San Francisco. He is a co-founder of the Industrial Policy Group with Professor Reka Juhasz (UBC). His interests are at the intersection of political economy, industrial development, economic history, and empirical methods. His current research agenda is focused on establishing basic facts surrounding industrial policy practice. Before Oxford, Dr. Lane was an economics professor at Monash University and co-founder of SodaLabs.io. Previously, he was a postdoctoral researcher at the Massachusetts Institute of Technology under Nobel Laureate, Professor Daron Acemoglu.

He has a strong interest in applied empirical economics, causal inference, and, in particular, machine learning applications to inference and measurement. His projects have included using computational linguistics to measure economic activity, geopolitical events, and global policy interventions.

Nathan is an expert R programmer, adept at Python, and has a strong interest in functional programming. He has extensive experience with big data workflows.

Location

San Francisco, California, US Flag of

 3 Last updated about 2 days ago