Hi, I'm Dan. I'm interested in Bayesian machine learning, particularly in dynamic environments. You can reach me at the email listed on this page!
Postdoctoral Fellow @BasisResearch. Prev PhD @ Stony Brook University.
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Basis Research Institute
- Cambridge, MA
- danwaxman.github.io
- https://orcid.org/0009-0004-0168-5547
Highlights
- Pro
Pinned Loading
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BasisResearch/dynestyx
BasisResearch/dynestyx PublicAn extension of NumPyro for first-class support of dynamical systems.
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MILSensors
MILSensors Public[Bayesian Analysis 2025] A New Framework for Experimental Design with Digital Twins
Python
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KurtButler/tangentspaces
KurtButler/tangentspaces Public[NeurIPS 2024] Reproducible code for our article "Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems"
Python 6
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FLlorente/DecentralizedOnlineGPs
FLlorente/DecentralizedOnlineGPs PublicRepository to the paper "Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems" to appear in ICASSP 2025"
Python 2
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OnlineBayesianStacking
OnlineBayesianStacking Public[TMLR 2026] Online Bayesian Ensembles via Online Optimization and Empirical Bayes
Jupyter Notebook
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