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dchodge/README.md

David Hodgson

About Me

I'm a researcher, based at Charité Universitätsmedizin - Berlin, focused on serological modelling, immune dynamics, and vaccine evaluation.

Research Interests

  • Serological Modelling: Using antibody data to infer infection timing, transmission dynamics, and population immunity.
  • Immune Dynamics & Antibody Kinetics: Understanding how antibody levels change over time and what they tell us about protection.
  • Vaccine Correlates of Protection: Identifying immune markers that predict vaccine efficacy and can accelerate vaccine development.
  • Bayesian Inference: Applying probabilistic frameworks to extract information from data.

Research Groups & Organizations

  • Seroanalytics - Collaborative research group focused on serological data analysis and methods development
  • CCGH-IDD - Centre for Global Health - Infectious Disease Dynamics

Academic Writing & Communications

Interactive Tools & Widgets

  • mcmcPainter - Interactive widget for mcmcPainter - Paint pictures using Bayesian inference!
  • Mixture Model - A Reversible Jump algorithm for inferring mixture distributions where number of components is unknown
  • Serojump - Interactive widget for serojump - Individual Antibody Trajectories with Bayesian Inference
  • Interactive Bayesian Epidemic Modelling - Interactive tools for Bayesian epidemic modeling and analysis.

Connect


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  1. bayesian-sir-wasm bayesian-sir-wasm Public

    High-performance Bayesian SIR epidemic model with real-time adaptive MCMC parameter estimation, compiled from C++ to WebAssembly for near-native browser performance.

    JavaScript 4

  2. hero-study hero-study Public

    R 4

  3. rjmc rjmc Public

    R 2 1

  4. seroanalytics/serosolver seroanalytics/serosolver Public

    Inference framework for serological data

    R 19 7

  5. seroanalytics/serojump seroanalytics/serojump Public

    A serological inference package using reversible jump mcmc

    R 3 2

  6. seroanalytics/serojump-widget seroanalytics/serojump-widget Public

    A widget to help understand the methods of the serojump package

    JavaScript 1