Health & Biomedicine
09 Oct

Brain Imaging Analytics Symposium

October 9, 2026 In-person
1:00 PM – 6:30 PM

Capitol One Hub
School of Data Science
1919 Ivy Road
Charlottesville, VA 22903

Brain Imaging Analytics Symposium Event Card for October 9th from 1-6:30pm

Join us for a symposium showcasing research at the intersection of neuroscience and data science and the growing opportunities emerging across these fields.

The event will bring together leading researchers and experts from the University of Virginia and beyond to share their work, exchange ideas and explore how data-driven approaches are advancing our understanding of the brain. Attendees will have opportunities to engage directly with speakers and learn more about research shaping the future of neuroscience and data science.

A full lineup of speakers and guests will be announced soon.


Schedule

Welcome

1:00-1:05 p.m.

Opening Remarks

1:05-1:30 p.m.

Keynote Address

1:30-2:30 p.m.

45-minute presentation followed by a 15-minute Q&A

Session 1

2:30-3:30 p.m.

  • Gustavo Kunde Rohde (Professor of Engineering, UVA)
    • Optimal Transport-Based Characterization of Hematoma Morphology and Its Relationship to Hematoma Expansion
  • Ben Newman (Postdoctoral Researcher of Neuroscience, UVA)
    • Bridging the gap between structure and function in the brain by measuring axonal conduction velocity
  • Stefen Beeler-Duden  (Postdoctoral Researcher of Neurology, UVA)
    • Mapping Diagnosis- and Sex-Dependent Insular Connectivity Alterations in Autism
  • Isaac Levy (PhD Student of Data Science, UVA)
    • Integrating Structure-Function Coupling Across Multiple Functional Connectivity Domains

50-minutes of presentations followed by a 10-minute joint Q&A

Coffee Break

3:30-3:45 p.m.

Featured Local Speaker

3:45-4:15 p.m. 

20-minute presentation followed by a 10-minute Q&A

Transition

4:15-4:20 p.m. 

Session 2

4:20-5:20 p.m.

  • Lauren DiNicola (Assistant Professor of Psychology, UVA)
    • Examining Association Networks Within Individuals: Recent Progress from Precision Neuroscience
  • Aiying Zhang (Assistant Professor of Data Science, UVA)
    • From Biological Priors to Interpretable Concepts: Knowledge-Guided Graph Neural Networks for Brain Disorder Prediction
  • Courtney Marsh (PhD Student of Quantitative Psychology, UVA)
    • Genetic Influences on Microstructural Determinants of Axonal Conduction in Human White Matter: Voxel-Wise Heritability of Fiber Density and Cross-Section in Two Adolescent Twin Cohorts
  • Ziqian Zhang (PhD Student of Data Science, UVA)
    • Understanding the Impact of Brain Structure-Function Coupling on ADHD during Early Adolescence with Mendelian Randomization

50-minutes of presentations followed by a 10-minute joint Q&A

Closing Remarks

5:20-5:30 p.m.

Reception

5:30-6:30 p.m.

Catered dinner reception for registrants only

Presented by the School of Data Science Brain RIG

Artificial Intelligence / Data Ethics / Neuroscience / Biology / Psychology / Research