Ziv Epstein
About Ziv Epstein
Ziv Epstein is a Data Science Researcher at the Human Cooperation Laboratory at Yale University, where he has worked since 2014. He specializes in machine learning techniques to study human cooperation and has a background in Mathematics and Computer Science from Pomona College.
Current Position at Yale University
Ziv Epstein is currently employed as a Data Science Researcher at the Human Cooperation Laboratory at Yale University. He has held this position since 2014, contributing to research focused on human cooperation through data science methodologies. His work involves designing experiments and computational models to explore the dynamics of cooperation among individuals.
Previous Experience at MIT Media Lab
Prior to his current role, Ziv Epstein worked as a Research Assistant at the MIT Media Lab for a brief period of two months in 2015. This experience provided him with insights into innovative research practices and methodologies in a leading academic environment located in Cambridge, Massachusetts.
Educational Background
Ziv Epstein studied at Pomona College, where he earned a Bachelor of Arts degree in Mathematics and Computer Science from 2013 to 2017. He also attended Boulder High School and briefly studied Computer Science at the Aquincum Institute of Technology in Budapest in 2015. His educational background laid the foundation for his expertise in data science and machine learning.
Internship Experience at Harvard University
In 2012, Ziv Epstein completed a two-month internship at the Moral Cognition Lab at Harvard University. This role allowed him to engage with cognitive science research and further develop his analytical skills in a prestigious academic setting.
Research Funding and Techniques
Ziv Epstein's research at the Human Cooperation Laboratory has been supported by the Pomona College Summer Internship Grant. He employs machine learning techniques to collect and analyze data, enhancing the understanding of human cooperation through empirical research.