2024: Published 'Chronos: Learning the Language of Time Series' in Transactions on Machine Learning Research (TMLR); over 500 million Hugging Face downloads and 3.5K+ GitHub stars as of Aug 2025
May 2025: Paper on wavelet-based tokenization for time series foundation models accepted at ICML
Jan 2025: Paper on lightweight covariate adapters for pretrained models accepted at AISTATS
Jul 2025: Gave talk on AutoGluon-TimeSeries and GraphStorm at ICML Expo
Aug 2025: Delivered lecture on 'Building Foundation Models for Time Series' at Oxford ML School
Recipient of NUS Dean’s Graduate Research Excellence Award for PhD research
Background
Senior Applied Scientist at Amazon Web Services (AWS) based in Berlin
Works on time series forecasting, log analytics, and generative models
Recently focused on building general-purpose (foundation) models for time series
Active contributor to AWS open-source libraries AutoGluon and GluonTS
Research interests include time series analysis, generative models, probabilistic generative modeling, unsupervised learning, and representation learning