Jesse Ghashti is a Research Data Consultant in the Centre for Scholarly Communication (CSC) and is in his second year of a PhD in Mathematics. Jesse’s research interest is statistical modelling, specifically clustering techniques with bias mitigation and equity considerations.
Through the CSC, Jesse provides one-on-one consultations for graduate and faculty researchers in any discipline. During a consultation, Jesse can help researchers clean, model, analyze, and visualize their research data.
Sometimes understanding the data and where to start is the hardest step. Jesse can help researchers select appropriate statistical or machine-learning models to match their research question, data structure, and assumptions to ensure interpretable and defensible results.
Jesse says that “a common misconception is that research data ‘speaks for itself.’ The truth is that appropriate data cleaning, documentation, and contextual interpretation are essential to avoid misleading conclusions.”
Learn more about Research Data Management.