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Rajat Sen is a Research Scientist at Google Research who works on pretrained models for time-series forecasting and is one of the creators of TimesFM.
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Sep 2025 — Sep 2026
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TimesFM1TimesFM-ICF1
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Referenced in coverage
Google's Foundation Model for Zero-Shot Forecasting
Google ResearchpositiveSep 1, 2026
“Co-authored research on TimesFM-3 time-series foundation model.”
In-Context Fine-Tuning for Time-Series Foundation Models
Google ResearchresearchpositiveSep 28, 2025
Google Research introduces TimesFM-ICF, a time-series foundation model that learns from in-context examples at inference time through continued pre-training, matching supervised fine-tuning performance without user-side training complexity.
“Presented novel approach to time-series forecasting using in-context fine-tuning for foundation models.”
Foundation ModelsTime Series ForecastingAI ResearchNLP