Danielle Maddix Robinson in

Danielle Maddix Robinson

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Amazon Web Services (AWS) at Full-time
📍 Palo Alto, California, United States

Danielle Maddix Robinson is a Senior Applied Scientist at Amazon Web Services AI Labs, where she leads research on physics-constrained machine learning. A Stanford PhD graduate in Computational and Mathematical Engineering, she specializes in high-performance computing, deep learning for time series forecasting, and developing foundation models for scientific applications.

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Experience
3 Years
Current Role
Amazon Web Services (AWS)
Location
Palo Alto, California, United States
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Priorities

Topics Danielle cares about

AI for Science
Leads a research initiative at AWS applying machine learning to scientific computing, with a focus on areas like aerodynamics, climate models, and solving differential equations.
Physics-Informed AI
Her research focuses on creating machine learning models that respect physical laws, such as conservation laws and boundary conditions, to improve accuracy and scientific validity.
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Career

Work history

Amazon Web Services (AWS)
Full-time
Stanford University
2 yrs 7 mos
6-2017 - 9-2017
Extreme-Scale Data Analytics Intern
Sandia National Laboratories
6-2015 - 9-2015
CUDA Software Engineer Intern
NVIDIA
5-2012 - 6-2015
Computational Researcher
Berkeley Lab
In the press

Media appearances

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Education
2013 - 2018
Doctor of Philosophy - PhD
Stanford University
2013 - 2015
Master of Science - MS
Stanford University
Social presence
in
Behavioral profile

DISC profile (public)

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