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burkh4rt/README.md

Hi there 👋🏼 I'm Michael.

After a Ph.D. in applied math at Brown, I worked at Adobe as a machine learning scientist and at the University of Cambridge as a research associate. I have broad interests in the clinical applications of AI / ML, discrete math, & data science.

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  1. Multimodal-Trajectory-Modeling Multimodal-Trajectory-Modeling Public

    Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

    Python 3 1

  2. Learning-Representations-Causal-Inference Learning-Representations-Causal-Inference Public

    Code supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"

    Python 1 1

  3. Discriminative-Kalman-Filter Discriminative-Kalman-Filter Public

    Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

    MATLAB 10 7

  4. Filtered-Stochastic-Newton Filtered-Stochastic-Newton Public

    Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"

    Python 3 1

  5. Mercurial-Signatures Mercurial-Signatures Public

    We implement Delegatable Anonymous Credentials using Mercurial Signatures

    Python 19 6

  6. DKF-implementations DKF-implementations Public

    This repository contains code implementations for the Discriminative Kalman Filter.

    Python 2 1