notes
writing + field notes
short essays on research, interface design, biological networks, ai systems, and learning in public.
agents do not need to remember everything
what building a context + memory lab taught me about state, forgetting, tool safety, and the difference between useful memory and accumulated noise.
why i'm building at the edge of ai and biology
why biological systems, machine learning, and software design keep pulling me toward the same kinds of problems.
what makes a useful scientific interface
notes on designing calm tools for complex scientific workflows.
agents in biology need better roads, not just better models
reflections on why biological AI agents need better infrastructure, not just stronger reasoning.
gene networks as design material
thinking about biological networks not only as analysis outputs, but as interfaces for discovery.
learning gaussian processes slowly
a slower and more honest path into kernels, uncertainty, and probabilistic modeling.
featured by UMSL Magazine and UMSL Daily
a short note on being featured by University of Missouri–St. Louis publications and what that meant to me.
small tools for better research habits
small systems can make reading, coding, and writing research much easier.