Core Questions
What is this living “I”?
Where does selfhood exist inside systems that are continually becoming?
How do bodies, machines, and environments co-create each other in real time?
Where are the boundaries between living and artificial behavior — and what happens when they blur.

Human–Machine Emotion Loops
I work with physiological data — GSR, pulse, DNA sequences, and environmental fluctuations — as generative inputs for mechanical motion. These signals feed into servos, motors, and algorithmic systems that translate subtle internal states into tempo, gesture, and force. This research examines how emotion can move through technology, asking whether a machine can shift from a passive tool to an active collaborator in expression. Through these feedback loops, I investigate shared authorship between human and machine, where affect becomes mechanical and mechanics begin to feel expressive.

Algorithms as Organic Systems
My systems draw from natural processes: growth, decay, cycles, and regeneration. DNA sequencing — including my own mitochondrial data and nuclear DNA patterns — becomes a generative structure for kinetic behavior and visual pattern-making. These algorithms operate less like fixed code and more like living rhythms: recursive, irregular, adaptive, and constantly evolving. By treating computation as something organic rather than mechanical, my work explores how biological logic can reshape the way machines move, behave, and transform over time.

Identity Through Motion + Data
I use my own biological signals and genetic data as material — not to create autobiography, but to question where identity resides once it passes through machines. These inputs become a way to explore selfhood as something distributed, translated, and re-formed. Data becomes gesture; gesture becomes motion; and motion becomes a mechanical self-portrait, abstracted through circuitry, code, and kinetic behavior. This research treats identity as a shifting process rather than a fixed form, revealing how the “I” transforms when embodied in nonhuman systems.


RESEARCH STATEMENT
My research explores how human identity, emotion, and perception move through mechanical and computational systems. I treat data, sensors, and motion as living materials — capable of forming relationships, responding, resisting, and transforming. Through physiological inputs, DNA sequences, telematic interactions, and kinetic systems, I investigate how meaning is generated between bodies and machines.

I work with feedback loops: biological signals translated into servo motion, environmental fluctuations shaping algorithmic patterns, and genetic data encoded into mechanical choreography. These processes create hybrid systems that behave like evolving organisms, revealing how technology mirrors our emotional, cognitive, and sensory states.

Across installation, robotics, bioprinting, and generative drawing, my research examines cycles of growth, decay, control, and autonomy. I explore where selfhood resides when emotion becomes motion, when data becomes gesture, and when machines act less like tools and more like collaborators. Ultimately, my work asks what it means to be human in a world where living and artificial systems continuously shape each other.