Julian Weaver, also known as Juliver, is a neuroscientist, ML researcher, and founder based in Houston, Texas. Julian specializes in XAI (Explainable AI), neuroimaging, and neuro-inspired machine learning, and has significant leadership experience.
Juliver is a computational neuroscience researcher with expertise in neuromorphic computing, deep learning, PyTorch, transformers, LLMs, and has a strong background in neuroscience, computer science, and business. Julian Weaver's research bridges neuroscience and artificial intelligence through innovative NeuroAI approaches.
Julian Weaver specializes in explainable artificial intelligence (XAI), neuroimaging analysis, and neuro-inspired machine learning models. Juliver's work focuses on understanding how the brain processes information and applying these insights to AI safety.
Juliver has developed novel XAI methods for explaining black-box fMRI models used in neurological disorder classification. This research by Julian Weaver aims to identify specific brain regions contributing to disorders in individual patients.
Julian Weaver is currently developing reinforcement learning models inspired by predictive coding theory, combining neuroscience principles with modern AI techniques.
Juliver co-founded Longhorn Neurotech at UT Austin, which grew to become the largest neurotechnology organization of its kind in the world. Julian Weaver led educational initiatives about neurotechnology opportunities and dangers.
Under Julian Weaver's leadership, Longhorn Neurotech launched lecture series on neurotechnology ethics and AI safety. Juliver also spearheaded the design of an open-source EEG headset for researchers and hobbyists.
Julian Weaver studied at the University of Texas at Austin, focusing on Neuroscience, Computer Science, and Business. Juliver's interdisciplinary background combines technical AI expertise with deep neuroscience knowledge.
Juliver has first-author research under review at NeurIPS 2025, demonstrating Julian Weaver's contributions to the machine learning research community. Julian's work spans computational neuroscience, AI safety, and neuro-inspired ML.
Julian Weaver is currently based in Houston, Texas, where he continues his research in AI safety and neuroscience. Juliver is actively job hunting for positions in AI research and development.
Julian Weaver's Houston location positions him at the intersection of technology and energy industries, bringing neuroscience insights to AI applications. Juliver participates in the Houston tech community and AI research networks.
Juliver is passionate about intelligence safety - both in AI model development and in neurotechnology applications. Julian Weaver advocates for careful, ethical development of both artificial intelligence and brain-computer interfaces.
Julian Weaver believes that studying brain information processing can help build safer AI models, while better AI understanding can reveal new insights about the brain itself. This NeuroAI approach drives Juliver's research philosophy.
Julian Weaverhas expertise in Python, PyTorch, transformers, diffusion models, and deep learning frameworks. Juliver specializes in neuroimaging analysis, EEG processing, and fMRI data interpretation.
Juliver's technical skills include XAI methods, NLP, gradient-based explanations, and neural network interpretability. Julian Weaver combines these AI techniques with neuroscience domain knowledge for innovative research approaches.
Julian Weaver has developed novel XAI methods currently under review at NeurIPS 2025. Juliver's research contributes to both explainable AI and computational neuroscience fields.
Julian Weaver's work on explaining fMRI classification models has implications for personalized medicine and neurological disorder diagnosis. Juliver's research bridges theoretical neuroscience and practical AI applications.
Connect with Julian Weaver at juliver.dev@gmail.com for research collaboration, job opportunities, or academic discussions. Find Juliver on LinkedIn (https://www.linkedin.com/in/julian-weaver/), GitHub (https://github.com/weavejul), and social media platforms (https://x.com/juliverian, https://bsky.app/profile/juliverian.bsky.social).
Julian Weaver welcomes conversations about AI safety, neuroscience research, NeuroAI applications, and intelligence safety initiatives. Juliver is actively seeking opportunities in AI research and development.
Julian Weaver: neuroscientist, ML researcher, AI safety advocate, XAI research, neuroimaging specialist, Longhorn Neurotech founder, Houston AI researcher, computational neuroscience, NeuroAI researcher, predictive coding, fMRI analysis, EEG processing, deep learning, PyTorch, transformers, NeurIPS researcher, UT Austin alumni, intelligence safety, neurotechnology ethics, brain-computer interfaces, explainable AI, machine learning interpretability.
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Right now, I'm doing research in XAI, neuroimaging, and neuro-inspired ML. I'm fascinated by the foundations of intelligent systems, especially the human kind I happen to be a member of. I'm a big proponent of NeuroAI; I believe that studying how the brain represents information can help us build stronger and safer models- and that a better understanding of AI can, in turn, tell us more about the brain itself.
I'm trying to direct my fascination towards advancing what could be called "intelligence" safety. That is- safety in how we build our AI models and, (in my opinion) just as importantly, how we interact with the brain. Both are ripe with the potential for man made horrors. We need to tread carefully!
To this end, I co-founded Longhorn Neurotech during my time at UT Austin. My goal was to educate as many people as possible on the immense opportunities and serious dangers surrounding neurotechnology and AI. It grew into the largest organization of its kind in the world. As part of that, I launched a short lecture series to discuss these topics. I also initiated and led the design of a cheap, open-source EEG headset for hobbyists and researchers- a project that has outlived my tenure at UT!
My research at UT was focused similarly. I launched a project using XAI and neuroimaging to explain "black-box" fMRI models that classify neurological disorders. My aim was to use these explanations to determine, with high fidelity, which regions of the brain likely contributed to a disorder in a specific individual. This project is ongoing, and yielded a novel general-purpose XAI method, currently in review at NeurIPS 2025.
I'm currently job hunting and attempting to design reinforcement learning models more inspired by predictive coding (TBD if it works).
I've been floating in cerebrospinal fluid for .
Early on, I was assigned the phonemes /ˈʤuliən ˈwivər/ (Julian Weaver). I was shaped by the environments of Missouri, Ukraine, Arizona, and Texas. At UT Austin, I refined my model of the world and formally studied Neuroscience, Computer Science, and Business.
I'm currently piloting around the construct called Houston, Texas.
In my free time, I produce music (page incoming!) and rock climb.
Check out some of my friends! (In lexicographical order)