I'm an undergraduate at California State University, Long Beach, studying computer science and physics with a minor in biology. My research interests span living systems, human movement, and the computational methods we use to understand them. I am a BUILD Scholar and hope to pursue an MD/PhD.
My research experience includes behavior and neurobiology, protein molecular dynamics, gait and rehabilitation, and collaborative surgical-ergonomics work. I am especially interested in measurement, reproducible analysis, and scientific software that makes complex data easier to inspect. These are contributions to collaborative research, not claims of independent clinical validation.
Alongside my academic work, I pursue an independent research practice that began as a technical hobby: studying human–AI collaboration, agentic systems, and how AI changes knowledge and creative work. I build experimental systems, examine failures, and investigate when a procedure can be reused reliably rather than reasoned through again. This is an ongoing research line, not a claim of peer-reviewed findings or institutional endorsement.
I am interested in research collaborations and selective consulting engagements that extend these questions into real organizations. The focus is empirical: understand the existing process, build a bounded alternative, and compare quality, capability, time, cost, and human intervention. Prospective applications are distinct from completed client studies.
CaptureSuite is research-capture software organized around structured sessions, quality control, and downstream analysis. CanvasPilot provides a Python interface to authorized Canvas workflows. uma-sim is an unofficial Umamusume career-simulation project. Each repository documents its supported scope, evidence, limitations, and credits.
Outside research, I enjoy cosplay, physical making, music, anime, and games. Those interests are part of my life, not a substitute for the research or a sales pitch.
Research and selected work → · Academic research · AI systems · Software · LinkedIn



