Elizabeth de Guzman

I am a postdoctoral research associate with expertise in preclinical MRI and a passion for understanding the neurobiological underpinnings of MRI readouts. I combine experimental and computational approaches to understand how MRI signals relate to neural activity and microstructure.

Research Focus

• Development of advanced preclinical MRI methods sensitive to brain microstructure
• Use of perturbational techniques (such as optogenetic and chemogenetics) to understand different contributions to brain-wide functional connectivity
• Image processing, multimodal registration, and machine learning for biological prediction

Opportunities for Students
Students working with me will engage in interdisciplinary projects at the intersection of neuroscience, imaging, and data science. Projects may involve:

• Designing and running MRI or multimodal neuroscience experiments
• Analyzing imaging datasets to explore the relationship between MRI metrics and microstructure
• Applying machine learning techniques to predict tissue properties from MRI

Through this work, students gain experience in both experimental and computational neuroscience in a supportive research environment.

Background
I completed my PhD in Medical Biophysics at the University of Toronto, where I studied the effects of cranial radiation on brain development using MRI and histology. I then carried out postdoctoral research at the Istituto Italiano di Tecnologia, investigating neural drivers of functional connectivity using optogenetic-fMRI, before moving to Oxford.