Danielle Maddix Robinson
Senior Applied Scientist, AWS AI Labs, PhD in Computational and Mathematical Engineering, Stanford University
- Bay Area, California
- Github
- Google Scholar
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Efficiently serve dozens of fine-tuned models with vLLM on Amazon SageMaker AI and Amazon Bedrock
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See our blog on AWS and on vLLM on our optimizations in vLLM for efficient multi-LoRA on MoE models, e.g., GPT-OSS and Qwen3-MoE.
Science in the Age of Foundation Models
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Featured perspective piece on how foundation models can be beneficial in scientific domains and their current limitations.
Mitra: Mixed synthetic priors for enhancing tabular foundation models
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Featured blog by Amazon Science on our tabular foundation model Mitra, which is trained purely on synthetic data and obtains state-of-the-art performance on classification and regression tasks. Mitra is available in AutoGluon 1.4, and we have also released the weights on HuggingFace. Find the Mitra classifier here and regressor here.
A Lasting Legacy in Math and Science
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Blog, see pages 6-7 on how my parents inspired my love of math and science.