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Cornelia Ilin

Lecturer

cilin@ischool.berkeley.edu
corneliailin.github.io

Biography

I am currently a Research Scientist at Stanford's RegLab and Lecturer in ML at UC Berkeley's School of Information.

My primary research interest is in developing new causal inference and machine learning models to solve problems in environmental and health economics.

People

Recent courses taught

Summer 2022

Data Science W207. Applied Machine Learning
Data Science W207. Applied Machine Learning
Data Science W207. Applied Machine Learning
Data Science W207. Applied Machine Learning
Data Science W210. Capstone

Spring 2022

Data Science W207. Applied Machine Learning

Fall 2021

Data Science W207. Applied Machine Learning
Data Science W207. Applied Machine Learning

Recent publications

2021

Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales

Last updated:

May 17, 2022