Daniel Nevo
Senior Lecturer at the Department of Statistics at Tel Aviv University
Lecturer at Causal Inference course
Dr. Daniel Nevo is a Senior Lecturer at the Department of Statistics and Operations Research at Tel Aviv University since 2018. Dr. Nevo’s research focuses on causal inference in widespread domains, and specifically on developing and implementing causal inference methods for real-life problems.
Dr. Daniel Nevo is a Senior Lecturer at the Department of Statistics and Operations Research at Tel Aviv University since 2018. Before that he was a postdoctoral fellow at Harvard Departments of Biostatistics and Epidemiology (2016-2018). Daniel received his BA (Statistics and Economics, 2009) and MA (Statistics, 2011), both Magna Cum Laude, from the Hebrew University of Jerusalem. He received his PhD in Statistics from the Hebrew University of Jerusalem (2016).
Daniel’s research focuses on causal inference in widespread domains, and specifically on developing and implementing causal inference methods for real-life problems. As of 2022, he published 35 peer-reviewed papers.
Dr. Daniel Nevo is a Senior Lecturer at the Department of Statistics and Operations Research at Tel Aviv University since 2018. Before that he was a postdoctoral fellow at Harvard Departments of Biostatistics and Epidemiology (2016-2018). Daniel received his BA (Statistics and Economics, 2009) and MA (Statistics, 2011), both Magna Cum Laude, from the Hebrew University of Jerusalem. He received his PhD in Statistics from the Hebrew University of Jerusalem (2016).
Daniel’s research focuses on causal inference in widespread domains, and specifically on developing and implementing causal inference methods for real-life problems. As of 2022, he published 35 peer-reviewed papers.
Daniel has been collaborating with clinicians, epidemiologists, economists, and computer scientists in academia and health organizations to reach conclusions about causal effects from rich datasets.