Lorenzo Stella
AWS computer scientist; second author of Chronos and a co-author of GluonTS and Chronos-2
- Computer scientist, Amazon Web Services14
Lorenzo Stella is a computer scientist at Amazon Web Services who works on time series forecasting and optimization software. Stella is the second author of the Chronos paper (2024), which introduced Amazon's pretrained time series forecasting models, a co-author of Chronos-2 (2025), and a co-author of GluonTS, a Python toolkit for probabilistic time series modeling. Stella's earlier research covered algorithms for large-scale nonsmooth optimization.14562
Career
Research and software
Stella's optimization research includes papers on forward-backward quasi-Newton methods (2017), Douglas-Rachford splitting and ADMM for nonconvex problems (2022) and adaptive proximal algorithms (2024), and the Julia packages ProximalAlgorithms.jl and ProximalOperators.jl.23
In time series forecasting, Stella co-authored Deep State Space Models (NeurIPS 2018), the GluonTS toolkit paper (JMLR 2020), Chronos (2024), the fev-bench benchmark (2025) and Chronos-2 (2025).2567
Work
ChronosOpen weights
Second author of "Chronos: Learning the Language of Time Series" (2024); Stella's site lists Chronos among Stella's projects.53
Chronos-2Open weights
Co-author of "Chronos-2: From Univariate to Universal Forecasting" (2025).62
GluonTS (external site: github.com)Open-source code
Co-author of the 2020 JMLR paper on GluonTS, a Python toolkit for probabilistic time series modeling with a focus on deep learning architectures.23
Career timeline
2014
Co-authored a paper on complexity estimates and accelerated variants of Douglas-Rachford splitting at IEEE CDC.2
2018
Co-authored Deep State Space Models for Time Series Forecasting at NeurIPS 2018.2
2020
Co-authored the GluonTS paper on probabilistic and neural time series modeling in Python.2
Mar 12, 2024
Posted the Chronos paper on pretrained time series models as second author.5
Sep 30, 2025
Co-authored fev-bench, a benchmark for time series forecasting.7
Oct 17, 2025
Co-authored the Chronos-2 paper on universal forecasting.6
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