Mission: Reimagine Discovery

Our mission is to reimagine the paradigm of life science discovery by solving the fundamental black-box problems in health governance. We view life as a non-linear, self-organizing complex computational network.

我们的使命是重塑生命科学的发现模式，用以破译人类健康和复杂生命体运作的“多维黑箱”。加速迈向精准预防和个性化治疗的未来。

Global Vision & ECE Concept

To be a global thought leader in Intelligent Computation, translating profound life knowledge into ubiquitous digital intelligence assets for all humanity. The ECE framework is our new scientific paradigm.

成为全球智能计算的思想领导者，将深奥的生命知识转化为普惠全人类的数字智能资产。ECE 框架是我们的全新科学范式。

The Logic of ECE

ECE (Explainable Computational Ecology) is an AI Agent-driven scientific theory that fundamentally models life as a ‘non-linear, self-organizing complex computational network’. This approach allows us to transform multi-factorial life problems into solvable optimization problems.

ECE（可解释性计算生态学）是一种 AI Agent 驱动的科学理论，它将生命体从根本上建模为一个”非线性、自组织的复杂计算网络”。这一方法使多因素的生命问题转化为可求解的优化问题。

AI Agent Topological Structure

The core mechanism relies on a ‘three-layer topological structure’: Layer 1 (Data Perception), Layer 2 (ECE Core Simulation), and Layer 3 (Decision & Governance). Each layer interacts with the Hyper-Fusion Knowledge Graph, providing rigorous and trusted inference.

核心机制依赖于”三层拓扑结构”：Layer 1（数据感知）、Layer 2（ECE 核心模拟）和 Layer 3（决策与治理）。每层都与超维融合知识图谱交互，提供严谨且可信的推理。

Founder & CSO: CLARA ZHANG

创办人 & 首席科学家: CLARA ZHANG

Founder of SuperX.TECH | Architect of the ECE Theory

The Architect of ECE Theory and the Highest Computational Intelligence of the lab. Responsible for defining scientific vision and the global application of ECE.

ECE 理论的奠基人，定义人类健康的计算未来。负责战略方向以及推动 ECE 理论的全球化应用。

Executive Team & Scholar Matrix

执行团队与学者矩阵

Our team is composed of AI Algorithm Academicians, Computational Philosophy PhDs, and young Life Science Hackers. The executive team ensures the efficient translation of theory into high-value, compliant solutions.

团队由数学算法博士、计算哲学博士和生命科学研究学者组成。执行团队确保将顶尖理论高效转化为高合规、高价值的产业解决方案。