Sergio Ponce de Leon, PhD
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Sergio Ponce de Leon, PhD
Research Consultant
I’m a consciousness researcher with a PhD in Cognitive and Information Sciences from the University of California, Merced. My research topics include investigating measures of consciousness in humans and AI systems, and analyzing and testing theories of consciousness, such as integrated information theory (IIT). I hold an MS in human-computer interaction and applied machine learning, and a BS in environmental science, both from the University of Michigan. I’m also a Senior Director of Applied AI at PMA Consultants
Undergraduate
University of Michigan
Graduate
University of California, Merced
Representative Publications
- Ponce de Leon, S., & Yoshimi, J. (2026). Integrated information theory (IIT) and the testability of the silent neuron predictions. Neuroscience of Consciousness, 2026(1), niag037.
- Ponce de Leon, S., Backer, K. C., Monti, M. M., & Yoshimi, J. (2026). Detecting differences in conscious contents using EEG complexity measures. In principle acceptance of Version 6 by Peer Community in Registered Reports. https://osf.io/kdsau
- Ponce de Leon, S. (2026). Consciousness, complexity, and silent neurons: Experimental and philosophical investigations for integrated information theory (IIT) (Doctoral dissertation, University of California, Merced).
Skills
Machine Learning
80%
EEG
90%
Python
80%
Statistics
80%
Your ideal research study
Testing the silent neuron predictions of integrated information theory using transcranial magnetic stimulation.
What drew you to consciousness
Coursework in philosophy, psychology, machine learning, and neuroscience; an episode of NOVA on PBS about monkeys controlling computers with their thoughts via brain-computer interfaces; and a PBS series called The Brain (with neuroscientist David Eagleman).
Hobbies
Endurance running, photography, scuba diving, snowboarding, adventure travel