Joel Carlson Data Scientist

Research

My research goals involve creating methods for improving treatment outcomes, predicting disease prognosis, and implementing these methods as clinical decision support systems.

Novel Methods for Predicting Gentrification

Predicting rapid changes in rental prices can make for better informed policy decisions, but it's a difficult problem. Here I hypothesized that two novel features precede changes in rent, and tested these hypotheses in several ways.

Machine Learning to Improve Radiotherapy Accuracy

Decision tree regression techniques for predicting and correcting for errors in radiotherapy plans.

A Radiomics Approach to Classifying Low Grade Gliomas

Glioma classification using features extracted from histological and radiological images.

Monte Carlo Brachytherapy Simulation

Monte Carlo methods for calculating TG-43 parameters of a novel brachytherapy seed.