About
Activity
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Back from Paris after a week of inspiring conversations. Call it Europe’s AI capital or not, the ambition here to build big and global is undeniable.…
Back from Paris after a week of inspiring conversations. Call it Europe’s AI capital or not, the ambition here to build big and global is undeniable.…
Liked by Danielle Maddix Robinson
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In case you missed it, catch the replay of this week’s OpenUSD Insiders livestream I was joined by Ansys’ Susan Coleman, Nicolas Dalmasso, and…
In case you missed it, catch the replay of this week’s OpenUSD Insiders livestream I was joined by Ansys’ Susan Coleman, Nicolas Dalmasso, and…
Liked by Danielle Maddix Robinson
Experience & Education
Volunteer Experience
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Talk at Science Fair on Mathematics in Science
Daves Avenue Elementary School
- 1 month
I gave a talk to aspiring young scientists on mathematics in science on the use of the Navier-Stokes equations for fluid flow in a variety of applications in science including climate and weather modeling, aerodynamics and blood flow through the heart.
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Technology, Engineering and Mathematical Sciences Judge
Diocese of Oakland
- 6 years 1 month
Education
Interviewed aspiring young scientists about their science fair projects and mentored young women interested in STEM fields.
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ICME Numerical Linear Algebra Refresher Course Instructor
Stanford University
- 1 month
Education
Taught the key components and background needed for the ICME core course, CME 302, Numerical Linear Algebra to incoming first year PhD and Master students.
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Panel Member for Letters & Science "Finding Your Way" Advising Program
University of California, Berkeley
- 4 months
Education
Mentored incoming UC Berkeley freshmen about the challenging of their curriculum.
Publications
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Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
Proceedings of Machine Learning Research: 3rd Annual Learning for Dynamics & Control (L4DC)
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AutoODE: Bridging Physics-based and Data-driven modeling for COVID-19 Forecasting
Machine Learning in Public Health NeurIPS 2020 Workshop
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Learning Dynamical Systems Requires Rethinking Generalization
Interpretable Inductive Biases and Physically Structure Learning NeurIPS 2020 Workshop
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GluonTS: Probabilistic and Neural Time Series Modeling in Python
Journal of Machine Learning Research (JMLR)
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Neural Time Series Models with GluonTS
Time Series Workshop ICML 2019
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Deep Factors for Forecasting
Proceedings of Machine Learning Research, Volume 97: International Conference on Machine Learning (ICML)
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Deep Factors with Gaussian Processes for Forecasting
Bayesian Deep Learning NeurIPS 2018 Workshop
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Numerical artifacts in the discontinuous Generalized Porous Medium Equation: How to avoid spurious temporal oscillations
Journal of Computational Physics 368 pp. 277-298
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Numerical artifacts in the Generalized Porous Medium Equation: Why harmonic averaging itself is not to blame
Journal of Computational Physics 361 pp. 280-298
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Advanced Fluid Reduced Order Models for Compressible Flow
Sandia Report: SAND2017-10335
Courses
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Advanced Computational Fluid Dynamics
CME 215A
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Advanced Programming for Scientists and Engineers
CME 212
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Convex Optimization
CME 364A
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Decision Making Under Uncertainty
CS 238
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Discrete Mathematics and Algorithms
CME 305
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Finite Element Analysis
ME 335A-C
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Hydrodynamics
CEE 262A
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Introduction to Parallel Computing Using MPI, OpenMP, and CUDA
CME 213
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Large-Scale Numerical Optimization
CME 338
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Machine Learning
CS 229
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Mathematical Methods of Imaging
CME 321B
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Modern Applied Statistics: Data Mining
Stats 315B
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Modern Applied Statistics: Learning
Stats 315A
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Numerical Linear Algebra
CME 302
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Numerical Optimization
CME 304
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Numerical Solutions of PDEs
CME 306
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PDEs of Applied Mathematics
CME 303
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Stochastic Methods in Engineering
CME 308
Projects
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Physics-constrained machine learning for scientific computing
https://www.amazon.science/blog/physics-constrained-machine-learning-for-scientific-computing
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GluonTS
- Present
For 2019 ICML talk on GluonTS see:
https://slideslive.com/38917683/neural-time-series-models-with-gluonts
https://www.youtube.com/watch?v=beEJMIt9xJ8 -
The Intersection of Computational Math and Industry
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Presented on my research at AWS AI Labs at the Computational Math in Industry and Beyond Seminar Series (CME 500) at Stanford University.
Honors & Awards
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Best Paper Award for the NeurIPS 2020 Machine Learning in Public Health Workshop
NeurIPS 2020 MLPH Workshop (https://sites.google.com/nyu.edu/mlph2020/accepted-papers)
"AutoODE: Bridging Physics-based and Data-driven modeling for COVID-19 Forecasting" (See https://assets.amazon.science/d9/d4/f25346d943d38119786518e1c87f/autoode-bridging-physics-based-and-data-driven-modeling-for-covid-19-forecasting.pdf)
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ICME Senior Teaching Fellow
Stanford University
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Outstanding Leadership Award
ICME
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Graduate Voice and Influence Program (GVIP) Fellow
Stanford University
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2016 ICME Xpo Poster Presentation Award
Stanford University
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National Science Foundation (NSF) Graduate Research Fellowship
National Science Foundation
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2012-2013 Outstanding Graduate Student Instructor Award
Math Department, University of California, Berkeley
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Highest Honors in Applied Mathematics
University of California, Berkeley
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Percy Lionel Davis Award for Excellence in Mathematics
Math Department, University of California, Berkeley
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Phi Beta Kappa
Phi Beta Kappa Honors Society
More activity by Danielle
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Check out this step-by-step guide to training and deploying your own AI-Physics surrogate. Perfect balance of technical detail and high-level…
Check out this step-by-step guide to training and deploying your own AI-Physics surrogate. Perfect balance of technical detail and high-level…
Liked by Danielle Maddix Robinson
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Exciting news! A new collaboration between DTN, NVIDIA, and Amazon Web Services (AWS) is set to revolutionize how businesses and communities prepare…
Exciting news! A new collaboration between DTN, NVIDIA, and Amazon Web Services (AWS) is set to revolutionize how businesses and communities prepare…
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This isn't just a coincidence, it's our business strategy!
This isn't just a coincidence, it's our business strategy!
Liked by Danielle Maddix Robinson
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I had the honor of being invited to Micode's Underscore_ podcast -- I can finally say now that the episode was released yesterday! If you're curious…
I had the honor of being invited to Micode's Underscore_ podcast -- I can finally say now that the episode was released yesterday! If you're curious…
Liked by Danielle Maddix Robinson
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Very exciting implications for probabilistic time series and spatiotemporal forecasting!
Very exciting implications for probabilistic time series and spatiotemporal forecasting!
Liked by Danielle Maddix Robinson
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Please read this I think this is a big step!
Please read this I think this is a big step!
Liked by Danielle Maddix Robinson
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