Projects

Here are some of my projects.

Bayesian approach to disease outbreaks

Bayesian

R

Stan

In this project we will consider a Bayesian approach to modelling disease outbreaks inspired by this Stan case study. We will do this using a Susceptible-Infected-Recovered (SIR) model. The main objective is to estimate epidemiological parameters of interest.

Notes to Regression Modelling Strategies by Frank Harrell

Notes

R

These are my notes to the book “Regression Modelling Strategies” by Frank Harrell. The notes are based on things I found interesting and learned. R code and figures are included when relevant.

Cox model case study

Survival analysis

R

Analyzing prostate cancer dataset using a Cox model. The primary goal is to discover patterns in survival, and to do an analysis of covariance to assess the effect of treatment while adjusting for patient heterogeneity. Prediction is a secondary goal.

Bachelor Thesis: Asymptotic Normality for Tessellation-based Betti Numbers

TDA

Bachelor Thesis

Python

In this project I worked on Topological Data Analysis. In particular, I proved some Central Limit Theorems for Tessellation based Betti numbers.