Projects
Coursework and independent projects, grouped into classical statistical methods and machine learning and Bayesian work. Each card links to the full write-up.
Logistic regression on 608 hospital patients to find laboratory markers and demographics that predict COVID-19 infection when RT-PCR testing is unavailable.
View report → MedicalA clinical contingency-table study using tests for proportions to relate a mother's age and smoking habits to gestational age and infant mortality.
View report →Quasi-binomial and negative-binomial models for overdispersed count data, applied to glove-use and school-absence datasets.
View report →SARIMA modeling of 2004 to 2021 Google Trends data, using transformation and seasonal differencing to forecast demand.
View report →Replicating and extending Bayesian regularized neural networks for stock-market forecasting, testing where they outperform plain feed-forward nets.
View report →A convolutional neural network in Keras and TensorFlow that classifies honey bees versus bumblebees from 1,654 field images.
View poster →