BAyesian Model-Building Interface (Bambi) in Python.

The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch

A collection of scripts used for modeling global daily maximum surges

Python package for conducting power analysis for experiments using regression and/or clustered data.

Fitness estimates of SARS-CoV-2 variants

Data science projects created using actual data, using Python and R.

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Details the data modeling techniques used, the functionality of the output, and an in-depth idea of how a plan finder works based off of user inputs.

Graduate-level course on Scientific Computing (CIMAT, Spring 2025). Includes assignments and simulations on Monte Carlo methods, MCMC algorithms (e.g., Metropolis-Hastings, t-walk), inverse problems, and Bayesian inference using Python.

The interface library for probabilistic modeling in HEP

Pi estimator based on the Monte Carlo method

Health and Economic Data Dashboard with Forecasting

Predict Fantasy Premier League (FPL) points using two models: a Random Forest regression (ML_xP.py) and a custom statistical model (xP_FPL.py). This project explores different approaches to predicting player performance, with a detailed comparison for Gameweek 5 of the 2024/25 EPL season.

Automatically determine trends, correlations, and feature selections given dataset(s)