Individual Class Projects

Advanced Computer Processing of Statistical Data

(Fall 2019)

Professor: Alexander Mantzaris, PhD

Project: Animal-Vehicle Collisions

Objective: To answer a set of questions on animal-vehicle collisions by analyzing an appropriate dataset using SAS

Machine Learning

(Spring 2020)

Professor: Yanjie Fu, PhD

Project: Predicting survival in glioma patients

Objective: To develop a machine learning system allowing to predict the survival of glioma patients following diagnosis using clinical data and magnetic resonance imaging radiomic features

Data Visualization

(Summer 2020)

Professor: Paul Wiegand, PhD

Project: Creating effective data visualizations

Objective: To improve the visualizations of CBTRUS Statistical Report on brain tumors published in Neuro-Oncology (2018)

Project: Storytelling with data

Objective: To tell about cancer burden in the United States using data visualizations

The class inspired me to learn more about data visualization and data storytelling. I started to read books by Cole Nussbaumer Knaflic, Steve Wexler, Jeffrey Shaffer and Andy Cotgreave. One day, I hope to apply the acquired knowledge to making informative visualizations of radiation effects on humans.

Data Mining

(Spring 2021)

Professor: Mitchell Hill, PhD

Project: Predicting survival in oropharyngeal cancer patients

Objective: To identify variables most responsible for oropharyngeal cancer patient survival and develop an effective survival predictive model