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chikuang/README.md

Hi, I'm Chi-Kuang Yeh 👋

I'm an Assistant Professor in Statistics at  Georgia State University.

Website Google Scholar X / Twitter Curriculum Vitae

🔬 What I do

  • 📊 Statistics & machine learning: functional data analysis, high-dimensional statistical inference, dependence modeling, and optimal experimental design.
  • 🤖 AI: LLM alignment and retrieval-augmented generation (RAG) with uncertainty quantification.

My applications include 💊 drug discovery and development, 🧪 toxicology, 🧠 neuroscience, 🌌 cosmic ray studies, and 🏀 sports.

😸 I welcome inquiries about supervision and research collaboration!

🎓 Academic journey

I was a postdoctoral scholar at  McGill University jointly with the  University of Waterloo, supported by the  Canadian Statistical Sciences Institute (CANSSI). I have also been affiliated with  Mila – Quebec AI Institute and the  Health Data Science Lab.

I earned my PhD at  Waterloo and my MSc and BSc at  University of Victoria.

🏡 My hometowns are Hsinchu and Taipei, Taiwan.

💻 Browse my repositories →

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  1. rtForecastEval rtForecastEval Public

    Evaluating the probabilistic forecasts between competitive forecasters

    HTML 1 1

  2. SLSEdesign SLSEdesign Public

    R package for computing optimal regression designs under second-order least-squares estimator

    R

  3. functional-seasional-AR functional-seasional-AR Public

    Fit the functional autoregressive model

    R

  4. CVXSADes CVXSADes Public

    CVXSADes: Construct exact regression designs using CVX in conjunction with simulated annealing

    MATLAB

  5. fSACF fSACF Public

    Code for functional spherical autocorrelation

    R

  6. veritasmih/FTSgof veritasmih/FTSgof Public

    White noise and goodness-of-fit tests for functional time series in R

    R