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aa14av/README.md

Hi there, I'm Alejandro 👋

🧠 I am a neuroscientist with a PhD from the University of Florida.

⚓ I am currently working as a naval aerospace experimental psychologist.

🤔 I'm primarily interested in precision dosing non-invasive brain stimulation with artificial intelligence.

🔭 I'm currently working on creating an deep learning algorithm to predict MCI in older adults !

🌱 I'm currently learning about graph neural networks for classifying fMRI data.

👯 I’m looking to collaborate on deep learning projects for non-invasive brain stimulation and neuroimaging. If you're working on this kind of thing, let me know!

Alejandro's GitHub stats

📫 Contacts

ORCID Google Scholar Scopus ID Loop Profile

You can reach out to me at: aa14av@gmail.com

📰 Publications

  • Albizu, A., Paulo, S., Huang, Z., Waner, J., Indahlastari, I., Fang, R., Brunoni AR., & Woods, AJ. (2024). Artificial intelligence-optimized non-invasive brain stimulation and treatment response prediction for major depression. Bioelectronic Medicine

  • Albizu, A., Indahlastari, I., Huang, Z., Waner, J., Stolte, SE., Fang, R., & Woods, AJ. (2023). Machine-learning defined precision tDCS for improving cognitive function. Brain Stimulation

  • Albizu, A., Indahlastari, I., & Woods, AJ. (2022). Non-invasive Brain Stimulation. Encyclopedia of Gerontology and Population Aging

  • Albizu, A., Fang, R., Indahlastari, A., O’Shea, A., Stolte, SE., See, KB., Boutzoukas, EM., Kraft, JN., Nissim, NR., & Woods, AJ. (2020). Machine learning and individual variability in electric field characteristics predict tDCS treatment response. Brain Stimulation

  • Albizu, A., Indahlastari, I., & Woods, AJ. (2019). Non-invasive Brain Stimulation. Encyclopedia of Gerontology and Population Aging

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