Ida Pu

Dr. Ida Pu is a Lecturer in Goldsmiths' Department of Computing, specializing in probabilistic algorithms, data structures, and combinatorial mathematics. Her research spans theoretical computer science and applied domains including medical imaging and network communications. Recent work develops machine learning approaches for predicting Alzheimer's disease progression and algorithms for financial sentiment analysis.

Her interdisciplinary collaborations include diffusion tensor imaging error correction methods for MRI data and energy-efficient routing protocols for mobile ad hoc networks. Current investigations focus on pattern recognition applications in Korean music analysis and social media diffusion patterns.