Emily Deng is a first-year master’s student in the Statistics & Data Science department at Yale. Her interest lies in the intersection of machine learning and causal inference. She obtained her bachelor’s degree in applied Math & Statistics and Economics from Johns Hopkins University. At YPCCC, she is currently using causal inference methods to gain deeper insights into the role of psychology in influencing mitigation and adaptation behaviors in response to extreme weather and climate change.