Rajat Sen
Google Research scientist and one of the creators of TimesFM, the time-series forecasting foundation model
- Research Scientist, Google Research15
Rajat Sen is a Research Scientist at Google Research and describes being one of the creators of TimesFM, a pretrained foundation model for time-series forecasting. Sen co-authored the 2023 paper introducing the decoder-only model behind TimesFM, co-wrote the Google Research posts announcing TimesFM in 2024 and TimesFM-3 in 2026, and also works on making large language model inference faster.1245
Career
Sen obtained a PhD from UT Austin in 2019, advised by Sanjay Shakkottai and working closely with Alex Dimakis, with research on contextual bandits, extreme classification and black-box optimization. Sen is now a Research Scientist at Google Research.1
Research
Sen's current interests are pretrained models for time-series forecasting and other less explored modalities, along with faster inference for large language models. Sen co-authored the TiDE paper (2023) and the decoder-only foundation model paper behind TimesFM (2023), and co-wrote the February 2024 Google Research post that introduced TimesFM.1324
Sen's site records the release of TimesFM-2.0 at the end of 2024. In August 2026, Sen and Ayush Jain introduced TimesFM-3 on the Google Research blog as a zero-shot model for multivariate forecasting, available on GitHub and Hugging Face and integrated into BigQuery.15
Work
TimesFMOpen weights
One of the creators of TimesFM and a co-author of the 2023 paper introducing its decoder-only time-series foundation model; Sen co-wrote the February 2024 Google Research post announcing it.124
TimesFM 3.0Open weights
Co-author, with Ayush Jain, of the August 2026 Google Research post introducing TimesFM-3, a zero-shot foundation model for multivariate forecasting released on GitHub and Hugging Face.5
Long-term Forecasting with TiDE: Time-series Dense Encoder (external site: arxiv.org)Published research
Co-author of the 2023 TiDE paper on an encoder-decoder model for long-term time-series forecasting.3
Career timeline
2019
Obtained a PhD from UT Austin, advised by Sanjay Shakkottai.1
Apr 2023
Co-authored the TiDE paper on long-term time-series forecasting.3
Oct 2023
Co-authored the decoder-only time-series foundation model paper behind TimesFM.2
Feb 2, 2024
Co-wrote the Google Research post introducing the TimesFM forecasting model.4
Dec 31, 2024
Noted on Sen's site that the team had released TimesFM-2.0.1
Aug 31, 2026
Co-wrote the Google Research post introducing TimesFM-3 for multivariate forecasting.5
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