Get in Touch
I'm always open to discussing research collaborations, graduate study opportunities, and applications of machine learning to social and urban systems. The best way to reach me is by email, and I am also happy to connect through my public profiles.
Future PhD Plans
I am preparing to apply for PhD programs in Machine Learning, Computer Science, and Computational Social Science for Fall 2027. My research vision focuses on developing machine learning methods that help us understand and predict the behavior of complex social and urban systems. I am especially interested in work that brings together spatial structure, temporal dynamics, network interactions, and real-world constraints.
I am drawn to research areas such as graph neural networks, spatio-temporal modeling, and computational social science, and I am excited by opportunities to combine ML theory with empirically grounded insights from public policy, urban science, and large-scale behavioral data. I am also interested in questions involving causal inference, robust evaluation, and the design of interpretable models that can support decision-making in high-stakes environments.
If your work intersects with these themes or explores related methodological directions, I would be glad to connect. I am eager to contribute to research that advances both the science of machine learning and its impact on societal systems.