I am a trans-disciplinary researcher working at the intersection of applied spatial data science, machine learning, and urban informatics. My work focuses on developing multiscale local models and leveraging novel, big datasets to extract insights that inform the design of intelligent urban systems. I am particularly interested in applications related to ...see more
I am currently developing a Locally Weighted Correlation Coefficient (LWCC) algorithm and evaluating its equivalence to the coefficients of the Geographically Weighted Regression (GWR) model. ...See more
Beyond research, I am deeply committed to pedagogy and mentorship. I view teaching not just as a means of knowledge transfer, but as an opportunity to foster openness, critical thinking, and methodological integrity in the classroom. ...See more