Associate Editor of JASA Applications and Case Studies (2022 - present); Associate Editor of EJS (2022 - present); Associate Editor of Scandinavian Journal of Statistics (2021 - 2024); Co-Editor of Biometrics (2017 - 2019); Associate Editor of Biometrics (2009 - 2016); Member of Editorial Board of Lifetime Data Analysis (2013 - 2016).
Research Experience
2016 - present: Professor, Department of Statistics and Operations Research, Tel Aviv University; 2014 - 2016: Associate Professor, Department of Statistics and Operations Research, Tel Aviv University; 2003 - present: Affiliate Investigator (Affiliate Faculty), Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA; 2002 - present: Returning Visiting Scientist, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA; 2011 - 2012: Associate Professor, Visiting Faculty Member, Department of Biostatistics and Computational Biology, Harvard School of Public Health, Boston, USA; 2010 - 2014: Associate Professor, Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology; 2005 - 2010: Senior Lecturer, Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology; 2004 - 2007: Senior Lecturer, Mathematics and Statistics Department, Bar Ilan University; 2001 - 2004: Lecturer, Mathematics and Statistics Department, Bar Ilan University; 1999 - 2001: Staff Scientist, Advanced Post Doctoral Position, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, USA.
Education
1994: MA, Hebrew University, Department of Statistics; 1999: PhD, Hebrew University, Department of Statistics, Supervisors: Prof. Banjamin Yakir, Prof. David Zucker.
Background
Professor in the Department of Statistics and Operations Research at Tel Aviv University, Israel. Research interests include survival data, non-parametric statistics, biostatistics, and machine learning. Current research focuses on inference based on Survival Deep Learning, natural experiment methods for causal inference, and various challenges of causal inference with survival outcomes.