Chisondi S. Warioba, PhD

T32 Postdoctoral Scholar

Stanford University School of Medicine
Department of Anesthesiology, Perioperative and Pain Medicine
Division of Pain Medicine

cwarioba@stanford.edu

I am a T32 Postdoctoral Scholar at Stanford University School of Medicine, specializing in developing machine learning algorithms and computational approaches for high-dimensional neuroimaging data analysis. My research focuses on investigating brain biomarkers in pain studies through innovative computational methods and cross-species translational approaches. With a unique interdisciplinary background spanning medical physics, chemistry, biology, and computational neuroscience, I am passionate about advancing our understanding of neural mechanisms in pain and stroke through cutting-edge neuroimaging and machine learning techniques.

Research Interests

Neuroimaging & Machine Learning

Developing advanced machine learning algorithms for analyzing high-dimensional neuroimaging data, including fMRI, DTI, and multimodal imaging integration to identify brain biomarkers.

Pain Neuroscience

Investigating neural mechanisms underlying pain processing through computational approaches, working with both human and animal models to understand pain biomarkers and therapeutic responses.

Stroke & Cerebrovascular Research

Cross-species mapping of functional connectivity alterations in hyper-acute ischemic stroke, focusing on therapeutic responses and brain network integrity preservation.

Translational Neuroscience

Bridging basic science and clinical applications through collaborative neuroimaging approaches, developing computational pipelines for complex datasets across multiple imaging modalities.

Doctoral Dissertation

Cross-Species Mapping of Functional Connectivity Alterations and Therapeutic Responses in Hyper-Acute Ischemic Stroke

University of Chicago, 2025

Advisor: Timothy Carroll, PhD

This dissertation presents novel approaches for analyzing functional connectivity changes in acute ischemic stroke using cross-species models. The work develops computational methods for resting-state fMRI analysis and demonstrates how flow augmentation therapies preserve brain network integrity.

📥 Download Full Dissertation (PDF)

Selected Publications

Flow Augmentation Therapies Preserve Brain Network Integrity and Hemodynamics in a Canine Permanent Occlusion Model

C.S. Warioba, T.J. Carroll, G. Christoforidis

Nature Scientific Reports, 14:16871, 2024

Efficacy Assessment of Cerebral Perfusion Augmentation Through Functional Connectivity in an Acute Canine Stroke Model

C.S. Warioba, M. Liu, S. Penano, S. Foxley, G.A. Christoforidis, T.J. Carroll

American Journal of Neuroradiology, 45(9):1214-1219, 2024

Computational Study on the Role of Zn(II) Z-Type Ligands in Facilitating Diaryl Reductive Elimination from Pt(II)

C.S. Warioba, L.G. Jackson, M.A. Neal, B.E. Haines

Organometallics, 42(16), 2023

Segregation Surfaces

D.J. Hunter, C. Warioba

Mathematics Magazine, 94(3):163, 2021 (Carl B. Allendoerfer Award)

Awards & Honors

NSF Graduate Research Fellowship

2023-2025

Prestigious national fellowship supporting innovative research in medical physics

Carl B. Allendoerfer Award

2022

Mathematics Association of America national award for exceptional mathematical exposition

Academic Visitor Award

2023-2024

University of Oxford, Department of Clinical Neurosciences

Dave Dolan Award

2021

Westmont College - Recognition for leadership in social and spiritual needs

NSF Quantum Foundry Fellowship

2020

Support for research in photonic integrated circuits and atomic physics

IMSD Fellowship

2021

Initiative for Maximizing Student Development, University of Chicago

Teaching Experience

Teaching Assistant - University of Chicago

Department of Radiology (2021-2023)

Interactions of Ionizing Radiation with Matter (Fall 2021, Fall 2022)
Physics of Medical Imaging II (Spring 2022, Spring 2023)