Abdul Fatir Ansari
Scholar

Abdul Fatir Ansari

Google Scholar ID: BZ0EoqIAAAAJ
Machine Learning Scientist at Amazon
Time SeriesDeep Generative ModelsUnsupervised Learning
Citations & Impact
All-time
Citations
1,059
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • 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