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Hello there, I'm Kianté 👋

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I'm mostly involved in projects related to cognitive modeling. R, Python and MATLAB are my go-to languages, but I have a growing interest in Julia.

My CV, publications and all are available on my website:

Here are some open-source projects I'm working on:

Statistics

  • DBDAJulia: Translation of Doing Bayesian data analysis in Julia using Turing.jl

Psychology

  • Rhddmjags: Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS and Stan in R.

Kianté Fernandez's Projects

dbda_julia icon dbda_julia

Doing Bayesian data analysis in Julia using Turing.jl

food-association-networks icon food-association-networks

Supporting material for the poster: "Uncovering the Role of Structural Properties in Food Association Networks"

hddm icon hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

hssm icon hssm

Development of HSSM package

mouse_history_hssm icon mouse_history_hssm

re-implement the previous code (github.com/anne-urai/mouse_history_ddm) in the HSSM package

pyhddmjags icon pyhddmjags

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.

rhddmjags icon rhddmjags

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.

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