Research & Insight
Researching how
systems shape people.
My research explores the intersection between technology, identity, communication, and environmental systems — focusing on how complex structures are experienced, interpreted, and understood.
Looking at the
systems behind
behavior.
My research is fundamentally interdisciplinary. I’m interested in how people interact with technical, social, and environmental systems, and what happens when those systems shape perception, identity, or understanding.
I move between computational methods, qualitative inquiry, and systems thinking depending on the question being asked.
Whether I’m studying transformer architectures or digital identity formation, I’m ultimately interested in the same thing: how information becomes experience.
Transformers & Formal Languages
Investigating whether transformer architectures genuinely learn structural rules or rely on probabilistic approximation beyond training distributions. Using deterministic finite automata to isolate behavioral understanding from statistical correlation.
Trans Identity & The Environment on TikTok
Qualitative research exploring how TikTok’s algorithmic distribution shapes interactions between transgender identity and environmental narratives, investigating digital visibility, platform behavior, and narrative framing.
ML + Hardware Learning Systems
Developing educational systems combining Arduino, SolidWorks, and machine learning concepts to make technical learning more tangible and accessible through physical-digital integration.
How I Research
Perspective
I’m most interested in interdisciplinary research where computational systems intersect with human behavior and cultural interpretation.
My work often investigates how systems distribute information, how narratives emerge within technical environments, and how people navigate structures they rarely fully see.
I believe research should not only produce insight, it should also communicate clearly enough to become usable and meaningful outside academia.