Statistical Machine Intelligence & Learning Engine

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

Comparison-based Machine Learning in Python

This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"

Experiments in NLOS mitigitation under MDS-based RF Positioning

Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.

Extendible metric MDS in Python

This routine is implemented in Matlab

The code for Multidimensional Scaling (MDS), Sammon Mapping, and Isomap.

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

Quadratic Programming with Complementarity Constraints

A physics-inspired R package for robust Euclidean embedding of sparse, non-metric dissimilarity data. Particularly powerful for antigenic cartography and viral evolution tracking, but applicable to any domain with incomplete similarity measurements. Published in *Bioinformatics* (2025).

An overview of my understanding of PCA for dimensionality reduction and Logistic Regression for model training and evaluation.

App for fast NMDS plots

The Tasmanian devil is endangered due to Devil Facial Tumour Disease (DFTD), a contagious cancer with no current treatment. Previous study has investigated the anticancer properties of Tasmanian devil cathelicidins. This report intends to reproduce the enrichment analysis results of the study and further analyze their data.

PCA and MDS analyses

Partial Order Scalogram Analysis with Base Co-ordinates

Explore spaces of phylogenetic trees

A library for the Analysis of Molecular Dynamics Simulations of Self Assembling Peptides. Started during an internship at CNTE, Niguarda Hospital, Milan