B.S. Biology, Portland State University
My formal education makes me a scientist, but the working habits that came with that training have traveled well across every job I've held since.
Forensic toxicology at Legacy Health in Portland, Oregon: ran a high-volume satellite site solo where the accuracy of every test fell on me directly. Data visualization at KOSA AI in Osaka, Japan: built data visualizations that surfaced where AI models had absorbed bias from their training data, translating model behavior into something a non-engineer could read. Medical lab work at University of Oklahoma Health: hospital lab work reporting critical results to physicians, where accuracy is non-negotiable because it directly informs patient care. Most recently, genomic work at LUMAE AI in Barcelona, Spain: built genomic pipelines analyzing data that linked RNA evidence to disease mechanisms in cancer cohorts.
Across all of those environments, two things kept showing up. Every system I worked in had avoidable friction, the kind that wastes time and compounds over years. And the scientific method I was trained in turned out to be a systems-design discipline in disguise: accuracy, reproducibility, documentation, validation. Eventually the next obvious move was to start building something of my own.
M37 Ventures is one of the clients I'm currently building for, planning and shipping AI workflows for their consulting engagements.
AeroLex is what I founded as a result. The kind of work I want to do happens here, on my own roadmap.
What I bring to a project is the rigor of scientific training, working experience across high-stakes environments, and knowledge of AI tools and systems, all wrapped in a curiosity that drives me to find what I don't yet know. The work is finding the friction, reducing it, and creating a system that can grow and evolve alongside your company.
What's the part of your job that never lets you clock out?
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