Dr. Gal Mishne

Biography

Gal Mishne is an Associate Professor at the Halıcıoğlu Data Science Institute, UC San Diego. His research lies at the intersection of signal processing and machine learning, with a focus on graph-based modeling, processing, and analysis of large-scale, high-dimensional real-world data. Mishne develops unsupervised and generalizable methods that allow data to reveal its own story in an unbiased manner. His research includes anomaly detection, clustering of remote sensing imagery, manifold learning, and multiway data tensors for biomedical applications. He is also interested in computationally efficient applications of spectral methods and focuses on unsupervised data analysis in neuroscience, particularly in processing raw neuroimaging data and discovering neural manifolds for visualization and learning using neural networks.

Research Interests