An Inquiry into Computational Semiotics
I am a researcher dedicated to exploring the intersection of language, logic, and artificial intelligence. My work focuses on building models that can comprehend and generate meaning, moving beyond mere pattern recognition to achieve a deeper level of semantic understanding.
Core Areas of Investigation
Algorithmic Ethics
Investigating bias in natural language processing models. Developing methodologies to audit semantic drift and systemic inequity in automated decision-making frameworks within semantic networks.
Symbolic AI
Developing systems that reason with abstract concepts. My research aims to reconcile neuro-symbolic architectures with classical logical formalisms to ensure reliable computational reasoning.
Generative Grammars
Mapping the foundational structures of human and machine language. Researching the syntactic universals that bridge biological linguistic capacity with synthetic generative models.
Selected Works & Papers
A curated collection of my most impactful contributions to the field. For a comprehensive list, please visit the publications page.
NEURAL ARCHITECTURE • 2023
Deconstructing Bias in Neural Networks
Valerius Lab Technical Report • 2021
A Unified Theory of Digital Syntax
Journal of Symbolic Computation & Meaning • 2024