Bradley Alexander Caron

[email protected] · GitHub: bacaron · X: @bacaronNovartis · brainlife.io · ORCID: 0000-0002-4486-1203

Positions

Novartis Institute for Biomedical Research

2024 – Present

Senior Expert I, Data Science  |  Cambridge, MA

University of Texas at Austin

2022 – 2024

Post-doctoral Student  |  Austin, TX

Indiana University

2016 – 2021

Ph.D Candidate  |  Bloomington, IN

Indiana University

2015 – 2016

Research Assistant  |  Bloomington, IN

Indiana University

2015 – 2016

Lab Manager  |  Bloomington, IN

Indiana University

2014 – 2015

Research Assistant  |  Bloomington, IN

Education

Indiana University

2021

Ph.D. Double Major in Neuroscience and Vision Science  |  Bloomington, IN

Indiana University

2015

B.S. Neuroscience  |  Bloomington, IN

Publications

2026

  1. Amorosino, G., Caron, B., Kwon, J., Carrasco, M., Reid, R.C., Legnlet, c., Zimmermann, J., Yacoub, E., Ugurbil, K., Heilbronner, S.

2025

  1. Wogu, E.*, Filima, P.*, Caron, B.**, Deabler, D.**, Herholz, P., Leal, C., Mehboob, M., Kim, S., Gosain, A., Flexwala, A., Hayashi, S., Akintoye, S., Ogoh, G., Godwin, T., Eke, D., Pestilli, F. “A labeled Clinical-MRI dataset of Nigerian brains”. Nature Scientific Data, doi:10.1038/s41597-025-04743-0 *equal contribution, ** equal contribution.
  2. Wogu, E., Ogoh, G., Filima, P., Nsaanee, B., Caron, B., Pestilli, F., Eke, D. “FAIR African brain data: challenges and opportunities”. Frontiers Neuroinformatics. doi:10.3389/fninf.2025.1530445.

2024

  1. Hayashi, S.*, Caron, B.*, Heinsfeld, A.S., Vinci-Booher, S., McPherson, B.C., Bullock, D., Berto, G., Niso, J.G., Hanekamp, S., Levitas, D., Ray, K., MacKenzie, A., Kitchell, L., Leong, J., Silva, F.N., Koudoro, S., Willis, H., Jolly, J., Pisner, D., Zuidema, T., Kurzwaski, J., Mikellidou, K., Bussalb, A., Rorden, C., Victory, C., Bhatia, D., Aydogan, D.B., Yeh, F.C., Delogu, F., Guaje, J., Veraart, J., Fischer, J., Faskowitz, J., Chaumon, M., Fabrega, R., Hunt, D., McKee, S., Brown, S.T., Heyman, S., Iacovella, V., Mejia, A., Marinazzo, D., Craddock, C., Olivetti, E., Hanson, J., Avesani, P., Garyfallidis, E., Stanzione, D., Carson, J.P., Henschel, R., Hancock, D.Y., Stewart, C.A., Schnyer, D., Eke, D., Poldrack, R.A., George, N., Bridge, H., Sani, I., Freiwald, W., Puce, A., Port, N., and Pestilli, F. “brainlife.io: A decentralized and open source cloud platform to support neuroscience research”. Nature Methods. *equal contribution. doi:10.1038/s41592-024-02237-2
  2. Willis, H., Caron, B., Cavanaugh, M., Starling, L., Ajina, S., Pestilli, F., Tamietto, M., Huxlin, K., Watkins, K., Bridge, H. “Rehabilitating homonymous visual field deficits: White matter markers of recovery – stage 2 registered report”. Brain Communications. doi:10.1093/braincomms/fcae323

2022

  1. Emily Jean Allen, Ghislain St-Yves, Yihan Wu, Jesse L. Breedlove, Logan T. Dowdle, Bradley Caron, Franco Pestilli, Ian Charest, J. Benjamin Hutchinson, Thomas Naselaris, Kendrick Kay. (2022) “A massive 7T fMRI dataset to bridge cognitive and computational neuroscience.” Nature Neuroscience. doi:10.1038/s41593-021-00962-x
  2. Vinci-Booher, S., Caron, B., Bullock, D., James, K. & Pestilli, F. Development of white matter tracts between and within the dorsal and ventral streams. Brain Struct. Funct. 227, 1457–1477 (2022).
  3. Hu Cheng, Sophia Vinci-Booher, Jian Wang, Bradley Caron, Qiuting Wen, Sharlene Newman, Franco Pestilli. (2022) Denoising diffusion weighted imaging data using convolutional neural networks. PLoS ONE 17(9): e0274396. doi:10.1371/journal.pone.0274396.

2021

  1. Bradley Caron*, Ricardo Stuck*, Brent McPherson, Daniel Bullock, Lindsey Kitchell, Joshua Faskowitz, Derek Kellar, Hu Cheng, Sharlene Newman, Nicholas Port, and Franco Pestilli. (2021). “Collegiate athlete brain data for white matter mapping and network neuroscience”. Nature Scientific Data. *equal contribution. doi:10.1038/s41597-021-00823-z
  2. Sandra Hanekamp, Branislava Ćurčić-Blake, Bradley Caron, Brent McPherson, Anneleen Timmer, Doety Prins, Christine C. Boucard, Masaki Yoshida, Masahiro Ida, Nomdo M. Jansonius, Franco Pestilli, and Frans W. Cornelissen. (2021). “White matter alterations in glaucoma and vision-deprived brains differ outside the visual system.” Nature Scientific Reports. doi:10.1101/2020.11.30.404434
  3. Ilaria Sani, Heiko Stemmann, Bradley Caron, Daniel Bullock, Torsten Stemmler, Manfred Fahle, Franco Pestilli, and Winrich Freiwald. (2021). “The human endogenous attentional control network includes a ventro-temporal cortical node” Nature Communications. doi:10.1038/s41467-020-20583-5
  4. Sophia Vinci-Booher, Bradley Caron, Daniel Bullock, Karin James, and Franco Pestilli. (2021). “Development of white matter tracts between and within the dorsal and ventral streams”. Brain Structure & Function. doi:10.1007/s00429-021-02414-5

2019

  1. Daniel Bullock, Hiromasa Takemura, Cesar Caiafa, Lindsey Kitchell, Brent McPherson, Bradley Caron, & Franco Pestilli (2019). “Associative white matter connecting the dorsal and ventral posterior human cortex.” Brain Structure and Function. doi: 10.1007/s00429-019-01907-8
  2. Paolo Avesani, Brent McPherson, Soichi Hayashi, Cesar F. Caiafa, Robert Henschel, Eleftherios Garyfallidis, Lindsey Kitchell, Daniel Bullock, Andrew Patterson, Emanuele Olivetti, Olaf Sporns, Andrew J. Saykin, Lei Wang, Ivo Dinov, David Hancock, Bradley Caron, Yiming Qian, & Franco Pestilli (2019). “The Open Diffusion Data Derivatives, Brain Data Upcycling via Integrated Publishing of Derivatives and Reproducible Open Cloud Services.” Scientific Data 6(1): 69. doi:10.1038/s41597-019-0073-y

Presentations

Oral

  1. “Neuroimaging QA at Scale: Quality Assurance in the Age of Big Data Neuroscience”. TACCSTER (2022), Lightning Talk, University of Texas at Austin, Austin, TX
  2. “Neuroimaging QA at Scale: Quality Assurance in the Age of Big Data Neuroscience”. ACNN Big Data Workshop (2022), Lightning Talk, University of Texas at Austin, Austin, TX
  3. “Democratizing Psychological and Brain Science through Community-Oriented Analysis Platforms”. APS Conference (2022), Invited Speaker, Chicago, IL.
  4. “NSD diffusion preprocessing and derivatives”. Natural Scenes Dataset Conference (2020), Virtual
  5. “Automated mapping of the visual white matter connectome”. Oxyopia (2020), Indiana University
  6. “Deep characterization of athlete brain tissue”. Oxyopia (2019), Indiana University
  7. “Concussion-prone athletics on the brain”. Oxyopia (2017), Indiana University

Poster

  1. Organization for Human Brain Mapping, “Reference datasets as a method for neuroimaging quality assurance at scale” 2023
  2. Organization for Human Brain Mapping, “FAIR and automated tools for segmentation of the visual white matter by visual field properties” 2023
  3. Organization for Human Brain Mapping, “A probabilistic atlas of white matter tracts and their functional associations” 2023
  4. NETI, “Structural connectivity of visual white matter maps to meridian asymmetries in visual brain” 2023
  5. TACCSTER, “Reference datasets as a method for neuroimaging quality assurance at scale” 2022
  6. ACNN Big Data Workshop, “Reference datasets as a method for neuroimaging quality assurance at scale” 2022
  7. Organization for Human Brain Mapping, online, “Test-retest reliability of cloud-based neuroimaging processing via brainlife.io” 2021
  8. Organization for Human Brain Mapping, Rome, Italy, “The major white matter tracts tissue microstructure predicts collision-sports participation” 2019
  9. Society for Neuroscience, San Diego, CA, “Advanced microstructural mapping in the subconcussive brain” 2018
  10. AAN Sports Concussion Conference, Indianapolis, IN, Author on Poster, “Advanced white matter mapping in the subconcussive brain” 2018
  11. Big Ten-Ivy League TBI Research Collaboration Summit, Philadelphia, PA, “Advanced white matter mapping in the subconcussive brain” 2018
  12. Vision Science Research Afternoon, Indiana University, “Advanced white matter mapping in the subconcussive brain” 2018
  13. Gordon Research Conference – Eye Movements, Bates College, “The effects of concussion-prone athletics on the brain” 2017
  14. Big Ten-Ivy League TBI Research Collaboration Summit, Chicago, IL, “The effects of concussion-prone athletics on the brain” 2017

Fellowships, Honors & Awards

Awards

  • 2021Psychological & Brain Sciences Teacher Assistant Award

Fellowships

  • 2021NEI T32 Postdoctoral Fellowship
  • 2016Indiana University George Rebec Fellowship
  • 2016Indiana University Graduate Fellowship

Honors

  • 2017Honorable Mention, National Science Foundation Graduate Research Fellowship Program
  • 2012Honors College Inductee, Marian University, Indianapolis, IN
  • 2010–12Dean’s List, Marian University, Indianapolis, IN

Travel Grants

  • 2016ACNN Travel Scholarship
  • 2016Indiana University Fall Travel Scholarship
  • 2017Indiana University Spring Travel Scholarship
  • 2017Indiana University Fall Travel Scholarship
  • 2018ACNN Travel Scholarship
  • 2018Indiana University Spring Travel Scholarship
  • 2019Indiana University Spring Travel Scholarship

Research Support

Past

  • 2021NEI T32 Postdoctoral Fellowship
  • 2021Indiana University Program in Neuroscience Assistantship
  • 2017Groups STEM Summer Research Experience Mentor
  • 2016George R. Rebec Fellowship

Open Science & Data Science Projects

Preprints

  1. Hayashi, S.*, Caron, B.*, Heinsfeld, A.S., et al. “brainlife.io: A decentralized and open source cloud platform to support neuroscience research”. arXiv. doi:10.48550/arXiv.2306.02183
  2. Bradley Caron, Daniel Bullock, Lindsey Kitchell, Brent C. McPherson, Derek Alexander Kellar, Hu Cheng, Sharlene D. Newman, Nicholas L. Port, Franco Pestilli. “Advanced mapping of the human white matter microstructure better separate elite sports participation.” PsyArXiv. doi:10.31234/osf.io/dxaqp

Datasets

Communications

  • Bradley Caron. (2021). “Athletic data depression: Gap in available neuroimaging data and technology limits understanding of effects of sports participation on the brain”. Behind the Paper. go.nature.com/3pOYO36

Mentoring

Postdoctoral, Graduate, Undergraduate and high school students

Teaching

Guest Lecturer

  • 2018Drugs & The Nervous System

Teaching Assistant, Indiana University

  • 2021Scientific Writing in Human Neuroscience
  • 2020Lab in Cognitive Neuroscience
  • 2019Drugs & The Nervous System
  • 2018–19Neural Science I & II, Neuroanatomy Lab
  • 2018Drugs & The Nervous System

2017

  • 2017Neural Basis of Learning and Memory

Scientific & Academic Service

Scientific Reviewer

  • Nature Scientific Reports
  • Journal of Neuroscience
  • PLOS One
  • Neuroimage

University Level Service

  • 2017Indiana University Groups STEM Mentor

Department Level Service

  • 2015–16Volunteer for Indiana University Imaging Research Facility

Technical Skills

  • python
  • shell/bash
  • R
  • MATLAB
  • singularity/docker
  • AWS
  • SQL
  • Adobe Creative
  • Neuroimaging packages
    • FSL
    • MrTrix
    • Freesurfer
    • Connectome Workbench
    • AFNI

Extra Academic