María José Monteagudo Candiani — Research Trajectory

Origin of Life • Black Holes • Quantum Biology • Unified Theoretical Physics

I am María José Monteagudo Candiani, an independent theoretical researcher working at the frontier between quantum physics, cosmology, and the emergence of life. My scientific work explores how fundamental symmetries, vacuum structure, and quantum coherence shape both the early Universe and the biological architectures that later emerged from it.

My research integrates:

• Extended Gravity (f(R)/f(T))

• Quantum Field Theory & Vacuum Spectral Gaps

• Black Hole Thermodynamics & Information Theory

• SU(2)/SU(3) Symmetry in Biological Systems

• Quantum Coherence in DNA, EZ Water, and Supramolecular Structures

• Astrobiology & the Physics of the Origin of Life

Across these domains, I investigate a central question:

How does the quantum structure of the Universe give rise to complexity, coherence, and eventually life?

 Research Focus: From Black Holes to Biogenesis

My work proposes that the same mathematical principles governing:

• black hole entropy,

• vacuum pressure,

• quantum tunneling,

• and symmetry breaking in the early Universe,

also appear—transformed but recognizable—in:

• biochemical coherence,

• genetic information flow,

• and the emergence of living systems.

This unified perspective connects:

• Primordial nucleosynthesis → vacuum topology → stellar evolution → black hole formation → chemical complexity → prebiotic coherence → origin of life.

Methodology & Scientific Identity

I work through non-linear, architectonic reasoning, focusing on:

• global geometric structures,

• asymptotic limits,

• hidden symmetries,

• and cross-domain invariants.

Rather than following procedural mathematics, I use heuristic modeling to uncover deep structural relations between physical and biological systems.

My computational tools include:

• QuTiP, Qiskit, MATLAB

• Monte Carlo simulations

• open quantum system modeling

• tensor-based symmetry analysis

Scientific Output & Recognition

• 19+ preprints (INSPIRE‑HEP, Zenodo, Figshare)

• Author of a scientific monograph on quantum biophysics

• COST Action CA23115 researcher

• h‑index 5, 49+ citations

• NASA SFL‑SAG contributor

• CubeSat & CryoBot conceptual design

• Postgraduate Diploma in Astrophysics & Cosmology

• Physics researcher 

• Interdisciplinary Foundations (ITESM, 2016–2020)

• My undergraduate degree was not a direct physics program, but it provided a broad foundation in mathematics, statistics, biology, chemistry, scientific philosophy, and systems design. I used this training to develop the conceptual architecture that later evolved into my theoretical frameworks.

Mathematical & Statistical Foundations

• Mathematics I & II

• Statistical Methods

• Forecasting

• Quantitative Models & Optimization

Biological & Chemical Systems

• Microbiology

• Chemistry

• Structural Organic Chemistry

• Molecular Biology

• Food Chemistry

• Tissue Culture 

Scientific Reasoning & Philosophy

• Philosophy of Science

• Ethics & Applied Ethics

• Analytical Writing

Systems, Innovation & Cognitive Design

• Innovation & Technology

• Organizational Structures

• Strategic Project Design

• Creativity & Problem Solving

Long-Term Vision

My overarching goal is to build a unified theoretical framework where:

• black hole information,

• astrophysics

• quantum coherence,

• vacuum geometry,

• and biological organization

are understood as different manifestations of the same underlying physical principles.

I believe that the origin of life is not an isolated biochemical accident, but a cosmic-scale phenomenon rooted in the deep structure of the Universe.

Early interdisciplinary prototype (2019) 

This video was part of my first formal proposal for an international scholarship. Although it was not selected, it marked the beginning of my line of thought on quantum coherence, neurobiology, and the organization of living systems. 

Electrotaxis, Quorum Sensing & Bioelectricity (2022)

“This project explored the relationship between electrotaxis, quorum sensing, and exo-electrogenic behavior in human-associated bacteria. I analyzed the Lactobacillus gluconate operon, the S-ribosyl-homocysteine lyase protein, and their potential influence on immune-cell electrotaxis. Using AlphaPulldown, STMOL, Biotite, and Py3Dmol, I performed early protein–protein interaction modeling and structural predictions. This work represents one of my first attempts to integrate bioelectricity, microbiota dynamics, and computational biology—an early precursor to my current SU(6) theoretical framework.”

Early Scientific Writing (2019–2021) 

Before beginning my formal studies in physics, I contributed to several scientific outreach articles at UDLAP. These pieces covered topics such as nanotechnology, biocatalysis, molecular motors, neurotechnology, quantum biology, and bio-inspired materials. This early work reflects the interdisciplinary intuition that later evolved into my current theoretical research on SU(5) and SU(6) frameworks. 

https://contexto.udlap.mx/tag/maria-jose-monteagudo-candiani/

Nanosatelites Engineering Trainning (2025)

In 2022, I applied to an analog astronaut program focused on astrobiology, extreme-environment research, and human performance in isolated habitats. This experience strengthened my interest in the intersection between space biology, bioelectricity, and theoretical physics. I plan to reapply in the future as part of my long-term scientific trajectory.

2025 – Interview Stage  

Selected for interview. My 2025 application focused on early theoretical proposals in quantum biology and astrobiology. Although I presented myself only as a first‑year physics student, the experience helped me understand how to communicate my interdisciplinary background more effectively.

2026 – Full Application (Current)  

Applying with a consolidated scientific identity: second bachelor’s degree in Physics, a completed 4.5‑year multidisciplinary degree, advanced international coursework, nanosatellite training, and active research in quantum biology, nanotechnology, and computational modeling.