Yael Travis-Lumer

I am an Assistant Professor in the faculty of Data and Decision Sciences at the Technion. I was previously a postdoctoral fellow in Statistics and Operations Research at Tel Aviv University, working with Prof. Malka Gorfine,  and before that in Statistics and Data Science at the Hebrew University, working with Professors Micha Mandel (HUJI) and Rebecca Betensky (NYU). I completed my PhD in the faculty of Data and Decision Sciences at the Technion, advised by Prof. Yair Goldberg.

My research focuses on three main areas: survival analysis, time series analysis, and machine learning, along with the intersections between them.  In the context of survival analysis, I developed both semi-parametric regression models and machine learning methods for various types of censored survival data, including univariate interval-censored data and bivariate right-censored data. In time series analysis, I combined ideas from causal inference with time series regression models and quantified the effect size of an intervention in the absence of a control group. A significant application of this work involved estimating the impact of the COVID-19 pandemic on various public health outcomes.