Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025).

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of Vcmax, Jmax and dark respiration as well as leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC).

Ensamble Voting for Financial Time Series

Component-based multivariate statistical tools for exploratory multiblock analysis.

A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!