Eduardo Castro Witting

Pronouns

He/Him/His

Title

Research Scientist -- Machine Learning in Digital Health

Bio

Eduardo Castro is part of the Computational Psychiatry and Neuroimaging group in Digital Health. His research is focused on the application of machine learning techniques for health assessment, with particular emphasis on early detection and improved treatment of mental health conditions and neurological disorders. He received his PhD degree in Computer Engineering at the University of New Mexico in 2013.

Publications

Multimodal fusion of brain signals for robust prediction of psychosis transition
- - Jenna Reinen
  - Pablo Polosecki
  - et al.
- 2024
- npj Schizophrenia
Predictive Modeling of Huntington's Disease Unfolds Thalamic and Caudate Atrophy Dissociation
- - Eduardo Castro
  - Pablo Polosecki
  - et al.
- 2022
- Movement Disorders
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate
- - Pablo Polosecki
  - Eduardo Castro
  - et al.
- 2020
- Scientific Reports
Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
- - Eduardo Castro
  - Pablo Polosecki
  - et al.
- 2018
- NeuroImage: Clinical
Biclustered independent component analysis for complex biomarker and subtype identification from structural magnetic resonance images in schizophrenia
- - Cota Navin Gupta
  - Eduardo Castro
  - et al.
- 2017
- Frontiers in Psychiatry
Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease
- - Pablo Polosecki
  - Eduardo Castro
  - et al.
- 2017
- IBM J. Res. Dev

Top collaborators

Pablo Polosecki

Research - Neuroscience

Jenna Reinen

Cognitive and Clinical Neuroscientist

Guillermo Cecchi

Principal Research Staff Member - Computational Psychiatry and Neuroimaging