Research amateur:

• trained: signal analysis & image processing (information enhancement, adaptive filtering, denoising, data compression, restoration, deconvolution, wavelets and filter banks, optimization),
• involved: basic statistics, visualization & data science,
• curious: language, words, epistemology, puns.

Driven by applications, especially the extraction of weak signals in noise: geophysics/geosciences, analytical chemistry, engine control and simulation, materials analysis, and bioinformatics.