Archana Venkataraman to be installed as the John C. Malone Assistant Professor

April 14, 2017 @ the Johns Hopkins Club, Homewood Campus

Dr. Venkataraman’s research lies at the intersection of multimodal integration, network modeling, and clinical neuroscience. Her goal is to develop a comprehensive and system-level understanding of the brain by strategically combining analytical tools, such as matrix factorization, signal processing, and probabilistic inference, with application-driven hypotheses. This approach promises to yield novel insights into debilitating neurological disorders, with the long-term goal of improving patient care.

Archana Venkataraman to speak at the IEEE JCM in Rochester, NY

April 5, 2017 @ 5:30pm, Rochester Institute of Technology

Title: An Adaptable Framework to Extract Abnormal Brain Networks

Abstract: There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways. I will also highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.

Archana Venkataraman to speak at the ICM Distinguished Seminar Series

March 7, 2017 @ 11am in Clark Hall 110

Title: An Adaptable Framework to Extract Abnormal Brain Networks

Abstract: There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways. I will also highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.