Hi, I am Andreas. I’m an Applied Scientist at AWS (Amazon), dedicated to advancing foundation models for time series, with a specific focus on forecasting. I work in the team that leads the research and development of Chronos and Autogluon.

Prior to that, I completed my PhD in Machine Learning at the Institute for Machine Learning at JKU, where I was advised by Sepp Hochreiter and was part of the ELLIS PhD Program. My PhD research centered on Deep Learning in the context of Time Series or, more broadly, sequential data — with a specific focus on Foundation Models. Before that, I obtained my BSc and MSc degrees in Computer Science at the Technical University of Vienna and gathered experience as a professional software developer.

I led the development of TiRex, a state-of-the-art foundation forecasting model built with xLSTM, and COSMIC, the first foundation forecasting model that beneficially utilized covariates in a zero-shot setting. Further, I am a co-author of Chronos-2 and xLSTM.