# Paths to Unconventional Computing: Causality in Complexity

## TL;DR

This paper explores the intersection of causality, complexity, and computation, aiming to uncover the algorithmic and reprogrammable nature of the world to advance molecular biology and scientific understanding.

## Contribution

It introduces a novel perspective on how causality and complexity can be harnessed for unconventional computing and scientific applications.

## Key findings

- Revealed the algorithmic properties of complex systems
- Proposed methods for reprogramming biological processes
- Addressed challenges of causality in scientific modeling

## Abstract

I describe my path to unconventionality in my exploration of theoretical and applied aspects of computation towards revealing the algorithmic and reprogrammable properties and capabilities of the world, in particular related to applications of algorithmic complexity in reshaping molecular biology and tackling the challenges of causality in science.