How applied math impacts forecasting at Amazon
Published:
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.
Danielle Maddix Robinson
Senior Applied Scientist, AWS AI Labs, PhD in Computational and Mathematical Engineering, Stanford University
- Bay Area, California
- Github
- Google Scholar
You May Also Enjoy
Physics-constrained machine learning for scientific computing
less than 1 minute read
Published:
Featured blog by Amazon Science on the research efforts that I am leading on physics-constrained machine learning for scientific computing and computational sciences.
A Lasting Legacy in Math and Science
less than 1 minute read
Published:
Blog, see pages 6-7 on how my parents inspired my love of math and science.
Paper on forecasting spread of COVID-19 wins best-paper award
less than 1 minute read
Published:
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
less than 1 minute read
Published:
Blog on the launch of our open-source library GluonTS for probabilistic time series forecasting.