I bridge the gap between theoretical consciousness research and clinical application.
Currently, I am a Research Assistant Professor at the Fralin Biomedical Research Institute (Virginia Tech) and Co-Founder of Nebula Neuro. My work combines computational modeling (Deep Learning, Information Theory, Advanced Signal Processing) with novel biological measurements to understand mental health disorders.
Core Focus: Computational Psychiatry • Human Monoamine Measurement • Integrated Information Theory (IIT).
My lab uses sub-second neurochemistry measurements in humans to determine how monoamines influence subjective experience and decision-making.
My research has led to the development of novel frameworks for AI-driven biomarker validation and FDA-compliant Real-World Evidence (RWE) generation.
Bang*, Luo*, Barbosa*, et al. (2023) • Current Biology
Co-First Author. Achieved the first sub-second measurements of neuromodulators using standard clinical sEEG electrodes. Revealed that norepinephrine estimates correlate positively with stimuli during high-arousal states, unlocking new avenues for monitoring human affect.
Batten*, Hartle*, Barbosa*, et al. (2024) • Cell Reports
Established the "InceptionTime" generalized model for carbon fiber electrodes. This work sets the new benchmark for AI-driven signal decoding across different labs and recording conditions.
Albantakis*, Barbosa*, et al. (2023) • PLOS Computational Biology
Foundational work defining the physical postulates of consciousness. Developed the mathematical implementation for quantifying cause-effect power in conscious physical systems.