I'm a postdoctoral researcher at UC San Diego working on developing digital twins for physical systems. My work focuses on updating physics-based models using advanced statistical learning methods. This is part of an emerging discipline known as Scientific Machine Learning.
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transitional-mcmc
transitional-mcmc PublicThis repo contains the code of Transitional Markov chain Monte Carlo algorithm
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uq-course
uq-course PublicForked from PredictiveScienceLab/uq-course
Introduction to Uncertainty Quantification
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SimCenterBootcamp
SimCenterBootcamp PublicForked from NHERI-SimCenter/SimCenterBootcamp2018
Misc Stuff related to SimCenter Programming Bootcamp
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers PublicForked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter Notebook
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introtodeeplearning
introtodeeplearning PublicForked from aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Jupyter Notebook
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