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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Physics-constrained machine learning for scientific computing
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Featured blog by Amazon Science on the research efforts that I am leading on physics-constrained machine learning for scientific computing and computational sciences.
How applied math impacts forecasting at Amazon
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Featured blog by Amazon Science on my research on our award-winning paper on COVID-19 forecasting, where I advised our summer PhD student intern Rui (Ray) Wang.
Paper on forecasting spread of COVID-19 wins best-paper award
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Blog on our Best Paper Award at the Machine Learning and Public Health NeurIPS workshop in 2020.
Creating neural time series models with Gluon Time Series
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Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.