A sociologist by education, he was shaped by the art of discerning patterns in chaos. His true passion has always been searching for and discovering correlations and cause-and-effect relationships where they aren't obvious. That's why he's so drawn to game theory and statistics—disciplines that teach how hidden order emerges from seemingly random points, and how emergent behaviors of systems emerge from individual decisions.

This curiosity about translating complexity into understandable models has been reflected in a diverse career path: from computer graphics, through data analysis and quantitative research, to simulation game design. Each of these fields represents a different kind of simulation—a different way of constructing a faithful replica of reality using rules and data. This experience opened him to the question: what if our reality is also a simulation of some kind—not in the technological sense, but in a fundamentally computational sense?

Versatility as a Key Scientific Tool

As Māyā theory emerged as a model for the discrete informational web of reality, Daniel saw its potential implications far beyond physics. Accustomed to connecting disparate ideas — from archaeology to anthropology, psychology, and cognitive neuroscience — he began mapping its implications. He saw the theory's potential to offer a new paradigm for chemistry, biology, materials science, and even the philosophy of science. His conclusion that Māyā could provide a framework for explaining the origins of consciousness — understood as the most complex, self-reflective processing pattern in a universal network — is the natural culmination of this interdisciplinary journey.

His most significant contribution to the development of theory to date is the creation of the LOGOS model of emergent mathematics — the assumption that in Maya, numbers like π, φ, and the fine-structure constant α are not arbitrary "settings" of the universe, but necessary products of the optimal geometry of the underlying lattice. In his view, all mathematics is neither discovered nor invented — it emerges as an inevitable property of the structure of discrete, three-dimensional reality.

This is a revolutionary position: in another universe, with a different fundamental geometry, a different mathematics would apply. Ours is what it is because we live in an optimized code. Daniel's work involves further deciphering this code, seeking to discover how the beauty and precision of Dirac's equations, the mystery of prime numbers, and the harmony of the golden ratio emerge from the seemingly dry rules of planxel updating.

While Seweryn writes the "book" of the theory's assumptions, Daniel is designing a "dictionary" for translating it into other scientific languages ​​and philosophical implications, drawing on his versatile areas of interest and knowledge of analytical methods and the potential applications of artificial intelligence models. As President of the ISKRA Foundation, he combines the role of popularizer of theory with the mission of ensuring its accuracy, believing that an idea must be both intriguing and verifiable.