projects

A growing collection of your cool projects.

research
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Large-Scale Human Mobility Generation via Generative AI

Developing a diffusion-based framework to generate realistic individual mobility trajectories from aggregate population data. Combines conditional generation with aggregation-consistency loss to balance micro-plausibility and macro-fidelity for public health applications.
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Multimodal Deep Learning for Mosquito Behavior

Developed BSAN, a deep learning model that predicts mosquito flight trajectories by integrating olfactory, thermal, and visual cues. The model reveals interpretable behavioral states to inform vector control strategies.
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Reproducibility in Business Statistics: A Systematic Assessment

Led a comprehensive reproducibility audit of 235 articles across seven leading statistics journals, revealing that only 17% of results could be reproduced. Identified critical barriers in code and data accessibility, reinforcing the need for transparent reporting in empirical sciences.
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Offline RL for Deep Brain Stimulation Control

Developed offline reinforcement learning approaches for optimizing Deep Brain Stimulation in Parkinson's patients. Proposed a reward redistribution strategy to address sparse clinical feedback, enabling patient-specific control policies from limited observational data.

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