Faculty & Research Scientists

The founder and visionary of the TReNDS center, Dr. Calhoun develops techniques for making sense of complex brain imaging data.

Dr. Plis's research goals lie in developing computational instruments that enable knowledge extraction from observational multimodal data collected at different temporal and spatial scales.

Dr. Liu’s research focuses on exploring and identifying genetic effects on or association with brain anomalies related to mental illnesses and disorders..

My research interests fall under “what can we know from cognitive neuroimaging and genetic data,” and “how can we represent what we know from these experiments?”

I specialize in developmental and clinical neuropsychology, developmental dyslexia, reading and attention related disabilities, acquired brain injury, neurogenetic disorders.

His research interests are analysis of brain data in frequency domain, statistical signal analysis and brain lateralization.

I am interested in how apparently distinct brain networks integrate and shape sensory processing.

My research interests center on imaging genomics, aiming to characterize the genetic underpinnings of neurobiological traits that relate to phenotypic manifestations pf mental disorders.

My research interests include developing new methods for analysis of brain functional networks, finding biomarkers for clinical purposes, and exploring brain function using multi-modality images.

I am interested in developing novel algorithms for tracking the dynamic brain connectivity and exploring the underlying physiological meaning of brain dynamics.

My background is data science and signal processing including machine learning, data mining, image processing, and time-series analysis.

Robyn is interested in brain dynamics, spatiotemporal dynamics, fMRI, dynamic connectivity, high-dimensional signal processing, statistical learning, deep learning

With a focus on combining novel deep learning architectures with flexible subspace structure models, Dr. Silva seeks to identify coupled brain biostructures across impaired and control populations, using heterogenous multimodal data in a truly unprecedented, synergistic fashion.

Dr. Vergara is an electrical engineer focused on neuroimaging data analysis with 10+ years of experience in research and development.