Research Interests






I have been an english teacher, university lecturer teaching in China, philosopher of history, engineer, and physicist with deep interest in a number of theoretical fields. As a previous student of fields medalist Dr. Richard Borcherds at UC Berkeley in EECS, I have an interest as an independent researcher in emerging theories of physics and their implications for technology and society, like postquantum lattice cryptanalysis, socioeconophysics/cybernetics, magnetohydrodynamics, biocompute platforms, mathematics, and OAM optics. ​
In my career I have worked on experimental autonomous flying vehicles, experimental biomedical devices, automotive applications, and financial analysis. In my career at big tech companies like Meta and Microsoft as well as the Information Physics Institute, where I have worked in AI research and published on Majorana physics. I was accepted into LSU's remote MBA graduate program.
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I have a "nontraditional" path. I was accepted into the world's top public university - UC Berkeley - and then there was a 500 million dollar budget cut culminating in the university devolving into violent riots including the storming of the chancellor's residence with molotov cocktails forcing him to resign.
https://en.wikipedia.org/wiki/Occupy_Cal
So I dropped out due to medical and safety reasons, then denied re-entry in spite of not being on academic probation or at risk of dismissal the semester of my leave. I spent over a year living off-grid in a "tiny home" trailer I built in the harshest possible conditions traveling across the United States - in temperatures colder than the arctic in Iowa and in the Arizona desert during the summer. Ever since then I've had to approach research independently through the Information Physics Institute instead of conventional institutions.
I am the CEO of Dreamscape Systems Inc, The Nestor Foundation, and King James Zen School LLC, and a researcher at the Information Physics Institute. I have recently (2026) left China where I received job offers for the University of Chongqing for possible work in East Timor with the USTDA.
Portfolio



Some of my projects include audio modulated tesla coils, "flying cars," lasers, and nanobiocomputing systems. I have not directly worked for the US government, never used my security clearance, have not received grants or funding, do not have access to classified materials, have not been involved in developing any weapons systems or chemical ballistic technology and do my own independent research.
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See my instructables.com page for DIY projects I've done over a decade ago:
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https://www.instructables.com/member/TheHomebrewGuru/instructables/

Publications


Nestor, T. (2026). Orbital angular momentum mode-mixing for Laguerre–Gaussian beams scattered by Kerr black holes. Zenodo. https://doi.org/10.5281/zenodo.19830674​
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Nestor, T. (2026). Parity-Sector Signatures in Ultraweak Photon Emission from Driven-Dissipative Majorana Spin Systems. IPI Letters, 4(1), 26–36. https://doi.org/10.59973/ipil.321
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​Nestor, T. (2025). Why Current AI Architectures are Not Conscious: Neural Networks as Spinfoam Networks in a Theory of Quantum Gravity. IPI Letters, 3(5), 43–123. https://doi.org/10.59973/ipil.307
Nestor, Trevor. (2025). Theoretical Approaches to Solving the Shortest Vector Problem in NP-Hard Lattice-Based Cryptography with Post-SUSY Theories of Quantum Gravity in Polynomial Time by Orch-Or. IPI Letters. O1-O62. 10.59973/ipil.171.
Nestor, Trevor, AI Models Are Not Conscious and Are Massively Inefficient, Causing Complexity and Scalability Bottlenecks to Artificial General Superintelligence Risking Technological Singularity and Loss of Societal Dynamism or Institutional Collapse and Renewal (June 16, 2025). Available on Zenodo: (PDF) AI Models Are Not Conscious and Are Massively Inefficient, Causing Complexity and Scalability Bottlenecks to Artificial General Superintelligence Risking Technological Singularity and Loss of Societal Dynamism or Institutional Collapse and Renewal
Nestor, Trevor. (2025). Solving NP-hard Problems - A Journey Through the Hardest Problems in the Universe​



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