Hi, I'm Jax Skye, PhD

Jax Skye logo
A
Computational Cognitive Neuroscientist

About

Dr. Skye is an INSPIRE Postdoctoral Research Fellow at the University of Iowa who applies computational modeling and neuroanatomical methods to predict behavior and clinical outcomes from high-dimensional brain data. His work integrates lesion-based approaches, network neuroscience, and machine learning to uncover latent structure in complex cognitive and clinical phenotypes. Across projects, he focuses on building reproducible, generalizable models that translate neurobiological insights into clinically meaningful predictions.

  • Languages: Python, MATLAB, R, Bash, HTML/CSS
  • Libraries: TensorFlow, PyTorch, scikit-learn, statsmodels, SciPy, NumPy, pandas, umap, networkx, KeplerMapper, Matplotlib, Seaborn
  • Tools & Technologies: Git, Apptainer, Docker, high-performance computing cluster, LaTeX
  • Applications: FreeSurfer, FSL, EEGLAB, MRIcroGL, Surf Ice, Slicer, SPSS, JASP, REDCap, Qualtrics, Prolific, MTurk, Unity, Motive, Pupil Labs, ImageMagick, gimp, Inkscape, Microsoft Office, Prezi
  • Operating Systems: Linux (Ubuntu, CentOS), Windows, iOS

Looking for an opportunity to work in a fast-paced environment where I can apply my expertise in neuroscience methods and data analysis to solve real-world problems.

Projects

prediction
Longitudinal Stroke Outcome Prediction

Developed stroke prediction pipeline

Accomplishments
  • Tools: Python, scikit-learn, TensorFlow, NumPy, pandas, matplotlib, seaborn, Git, Apptainer, HPC
  • Methods: low-dimensional embeddings (UMAP), ridge and kernel ridge regression, clustering, cross-validation, held-out cohort evaluation
  • Deliverables: Reproducible modeling pipeline, cross-cohort validation results, peer-reviewed manuscript
social inappro
Brain Lesions & Theory of Mind Deficits

Brain networks supporting theory of mind

Accomplishments
  • Tools: Python, MATLAB, FSL, FreeSurfer, MRIcroGL, Git
  • Methods: lesion–symptom mapping, lesion network mapping, structural and functional MRI, neuropsychological assessment
  • Deliverables: Network-level lesion maps, statistical models linking damage to behavior, manuscript in preparation
visuospatial
Visuospatial Dysfunction in Brain Lesions

Latent structure and localization of visuospatial impairment

Accomplishments
  • Tools: R, MATLAB, bash, Surf Ice, MRIcroGL
  • Methods: factor analysis, lesion–symptom mapping, lesion network mapping, cross-cohort prediction
  • Deliverables: Doctoral dissertation, predictive models, peer-reviewed publications
time disorientation
Time Disorientation & Brain Injury

Neural basis of time orientation

Accomplishments
  • Tools: MATLAB, R, MRIcroGL, Surf Ice
  • Methods: lesion–symptom mapping, network localization, neuropsychological assessment
  • Deliverables: Peer-reviewed publication (Annals of Neurology, study featured on cover), conference presentations
cms
Cerebellar Mutism Syndrome

Anatomical underpinnings of tumor-related syndrome

Accomplishments
  • Tools: MATLAB, MRIcroGL, Surf Ice, clinical imaging data
  • Methods: lesion localization, group-level neuroanatomical analysis
  • Deliverables: Peer-reviewed publication (Brain Communications), graphical abstract
conflict detection
Visual-Vestibular Conflict Detection

Multisensory signal integration in VR

Accomplishments
  • Tools: MATLAB, Pupil Labs eye tracking, infrared motion tracking, HTC Vive
  • Methods: psychophysics, virtual reality stimulus presentation, multisensory integration modeling
  • Deliverables: Experimental datasets, conference posters, undergraduate research project

Selected Publications

Nonlinear low-dimensional embeddings predict stroke outcomes.

Skye, J., Kliemann, D., Boes, A. D., & Traer, J. A. (2026)

Submitted to Human Brain Mapping

Neuroanatomy of cerebellar mutism syndrome: The role of lesion location.

Skye, J., Bruss, J., Toescu, H., Herbet, G., Aquilina, K., Grafft, A., Bardi Losa, G., & Boes, A. D. (2024)

Brain Communications, 6(4)
https://doi.org/10.1093/braincomms/fcae197

Localization of a medial temporal lobe–precuneus network for time orientation.

Skye, J., Bruss, J., Herbet, G., Tranel, D., & Boes, A. D. (2023)

Annals of Neurology, 94(3), 421–433
https://doi.org/10.1002/ana.26681

Jax Skye (2023)

Uncovering the latent structure of visuospatial ability and predicting visuospatial dysfunction from lesion location

Published doctoral dissertation
Dr. Skye's dissertation

Education

University of Iowa

Iowa City, Iowa, USA

Training Program: Iowa Neuroscience Specialty Program in Research Education (INSPIRE)
Advisors: James Traer, PhD | Dorit Kliemann, PhD

University of Iowa

Iowa City, Iowa, USA

Degree: Doctorate of Philosophy in Neuroscience
Advisors: Daniel Tranel, PhD | Aaron Boes, MD, PhD
GPA: 3.9/4.0

University of Nevada - Reno

Reno, Nevada, USA

Degree: Bachelor of Science in Neuroscience
Minor: Philosophy
GPA: 3.9/4.0

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