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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University of Chicago
- https://burkh4rt.github.io
- https://orcid.org/0000-0002-2772-5840
- in/burkh4rt
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Multimodal-Trajectory-Modeling
Multimodal-Trajectory-Modeling PublicCode supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"
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Learning-Representations-Causal-Inference
Learning-Representations-Causal-Inference PublicCode supplement for "Neuroevolutionary representations for learning heterogeneous treatment effects"
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Discriminative-Kalman-Filter
Discriminative-Kalman-Filter PublicCode supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"
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Filtered-Stochastic-Newton
Filtered-Stochastic-Newton PublicCode supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"
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Mercurial-Signatures
Mercurial-Signatures PublicWe implement Delegatable Anonymous Credentials using Mercurial Signatures
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DKF-implementations
DKF-implementations PublicThis repository contains code implementations for the Discriminative Kalman Filter.
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