Katerina Mamali
Advisors: Yang Cai, Manolis Zampetakis
Katerina Mamali is a PhD student in Computer Science at Yale University, advised by Yang Cai and Manolis Zampetakis. Before Yale, she received her diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA). Her work explores the fields of Statistical Learning Theory and Causal Inference. She is excited to understand under what conditions recovering and estimating statistical and causal relationships from data is possible. Her work has received the COLT 2025 Best Paper Award.
What do you do with Data Science?
Peter Salovey and Marta Moret Data Science Fellows Program offers a space for researchers from across Yale, brought together by a shared interest in data science, to exchange ideas and experiences and to think broadly about the role of data in research and society. Beyond this, I look forward to being part of a community of passionate, creative people who support and learn from one another.