Information Dynamics - Interactive Exploration

About

Kenneth A. Mendoza is a computational biologist and inventor with over 20 years of pioneering work at the intersection of information theory, structural biology, and biomedical applications.

Computational Biology Track Record

Sole Computational Biologist at Arbor Vita Corporation (2000s): Built proprietary PDZ/PDZ-ligand targeting platform superior to NCBI databases, enabling rational drug design. Platform-designed therapeutics achieved Phase III clinical validation in 1,105 stroke patients with 9.5% improvement in functional outcomes, published in The Lancet, NEJM, and Nature. Technology licensed to NoNO Inc., raising $120M+ and advancing to FDA approval trials.

Patent Portfolio

Co-inventor on multiple issued biomedical patents applying danger theory and information-theoretic approaches:

US8008253B2 (2008): Anxiety treatment via danger signal modulation in neural circuits

US8536129B2: Adaptive therapeutic dosing using information-theoretic feedback

US8633160B2: PDZ domain interactions - platform-designed drug validated in Phase III trials

US8648043B2: Neural injury treatment through signal pathway modulation

Current Work

Developing H² Framework - the first computational implementation of Polly Matzinger's danger theory of immunity. This hierarchical approach to immune modeling outperforms existing thermodynamic models (100-1000x faster, 87% less memory) and represents a breakthrough in predictive immune monitoring.

Shannon Entropy

The fundamental measure of information content in a system.

H(X) = -Σ p(x) log p(x)

Quantifies the average information content or uncertainty in a random variable.

Holevo Bound

The maximum classical information extractable from quantum states.

χ ≤ S(ρ) - Σ pᵢ S(ρᵢ)

Critical for quantum error correction and quantum communication protocols.

KvN Bridge

Koopman-von Neumann formalism bridging classical and quantum dynamics.

ψ = √ρ exp(iS/ℏ)

Enables quantum-like treatments of classical dynamical systems.

H² Framework

Holevo-Holographic information-theoretic approach to cross-domain modeling.

Applications: H²Q, H²Clime, H²i, H²Geo

Unifying quantum error correction, climate prediction, immunology, and beyond.

Interactive Entropy Visualization

Click to add particles and watch entropy evolve in real-time

Entropy: 0.00