Gal Mishne » HDSI Team

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Industry Relations

Gal Mishne

Assistant Professor
Photo of Gal Mishne

Biographical Info

Mishne’s research is at the intersection of signal processing and machine learning for graph-based modeling, processing and analysis of large-scale high-dimensional real-world data. She develops unsupervised and generalizable methods that allow the data to reveal its own story in an unbiased manner. Her research includes anomaly detection and clustering in remote sensing imagery, manifold learning on multiway data tensors with biomedical applications, and computationally efficient application of spectral methods. Most recently her research has focused on unsupervised data analysis in neuroscience, from processing of raw neuroimaging data through discovery of neural manifolds to visualization of learning in neural networks.

Related by Category

Photo of Yian Ma

Yian Ma

Assistant Professor
Photo of Rose Yu

Rose Yu

Assistant Professor
Photo of Julian McAuley

Julian McAuley

Assistant Professor
Photo of Shannon Ellis

Shannon Ellis

Assistant Teaching Professor
Photo of Ronghui (Lily) Xu

Ronghui (Lily) Xu

Professor
Photo of Yusu Wang

Yusu Wang

Professor
Photo of Justin Eldridge

Justin Eldridge

Assistant Teaching Professor 858.246.5259
Photo of Saura Naderi

Saura Naderi

K-14 Outreach Director

Student Affairs

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Executive Office

Gal Mishne

Assistant Professor
Photo of Gal Mishne

Biographical Info

Mishne’s research is at the intersection of signal processing and machine learning for graph-based modeling, processing and analysis of large-scale high-dimensional real-world data. She develops unsupervised and generalizable methods that allow the data to reveal its own story in an unbiased manner. Her research includes anomaly detection and clustering in remote sensing imagery, manifold learning on multiway data tensors with biomedical applications, and computationally efficient application of spectral methods. Most recently her research has focused on unsupervised data analysis in neuroscience, from processing of raw neuroimaging data through discovery of neural manifolds to visualization of learning in neural networks.

Related by Category

Photo of Yian Ma

Yian Ma

Assistant Professor
Photo of Rose Yu

Rose Yu

Assistant Professor
Photo of Julian McAuley

Julian McAuley

Assistant Professor
Photo of Shannon Ellis

Shannon Ellis

Assistant Teaching Professor
Photo of Ronghui (Lily) Xu

Ronghui (Lily) Xu

Professor
Photo of Yusu Wang

Yusu Wang

Professor
Photo of Justin Eldridge

Justin Eldridge

Assistant Teaching Professor 858.246.5259
Photo of Saura Naderi

Saura Naderi

K-14 Outreach Director

Communications

Gal Mishne

Assistant Professor
Photo of Gal Mishne

Biographical Info

Mishne’s research is at the intersection of signal processing and machine learning for graph-based modeling, processing and analysis of large-scale high-dimensional real-world data. She develops unsupervised and generalizable methods that allow the data to reveal its own story in an unbiased manner. Her research includes anomaly detection and clustering in remote sensing imagery, manifold learning on multiway data tensors with biomedical applications, and computationally efficient application of spectral methods. Most recently her research has focused on unsupervised data analysis in neuroscience, from processing of raw neuroimaging data through discovery of neural manifolds to visualization of learning in neural networks.

Related by Category

Photo of Yian Ma

Yian Ma

Assistant Professor
Photo of Rose Yu

Rose Yu

Assistant Professor
Photo of Julian McAuley

Julian McAuley

Assistant Professor
Photo of Shannon Ellis

Shannon Ellis

Assistant Teaching Professor
Photo of Ronghui (Lily) Xu

Ronghui (Lily) Xu

Professor
Photo of Yusu Wang

Yusu Wang

Professor
Photo of Justin Eldridge

Justin Eldridge

Assistant Teaching Professor 858.246.5259
Photo of Saura Naderi

Saura Naderi

K-14 Outreach Director