Joshua Swearingen
My background combines a Ph.D. in neuroscience with data science and software work across physiological sensing, research analytics, and commercial products.
I’m drawn to problems where the data is complicated, the assumptions matter, and a useful answer requires both analysis and something people can work with. That has meant developing signal-processing and prediction methods, building tools for scientific research, and connecting models to product decisions.
From research to useful tools
My doctoral research examined how functional brain networks change over time, using machine learning and high-dimensional fMRI data. In industry, I’ve worked on algorithms for glucose and cardiac sensing, large-scale analysis of scientific publications and grants, and experimentation and personalization for commercial products.
Across those settings, the common thread is turning complex measurements into something interpretable and useful: a model, an analysis, a visualization, or a working application. I care about what a method makes possible, but also about where its assumptions and limitations become important.
Before my doctoral work at the Medical University of South Carolina, I studied molecular biology, biochemistry, and bioinformatics at Towson University.
Selected research publications
- Influence of estradiol on functional brain organization for working memory — NeuroImage.
- The changing landscape of functional brain networks for face processing in typical development — NeuroImage.
These are selected coauthored studies. A fuller publication list is available on LinkedIn.
Working together
My experience is relevant to teams developing data products, AI-enabled tools, scientific software, and systems built around real-world measurements. I’m interested in work that benefits from moving between research questions, technical implementation, and practical decisions.
For consulting, contract work, employment, or a potential collaboration, contact josh@infocean.co. The résumé gives a more detailed account of selected experience and tools.
About Infocean
Infocean brings together my work in data, AI, science, and philosophy. The questions range from how to extract useful information from noisy measurements to how ideas develop, connect, and shape our understanding. Across that range, I’m interested in making complex information easier to explore and put to use.
Projects and investigations
Thoughtlines explores the history of philosophy through connections between thinkers, ideas, and works. Its interactive atlas and guided readings offer ways into a large, often unfamiliar body of material, with sources available for closer investigation.
My applied work has focused on physiological sensing, scientific information systems, and data-informed products. These areas share a practical challenge: turning imperfect data into useful tools and decisions. Selected experience is outlined in my résumé; the projects include Thoughtlines and small examples of analysis and visualization.
Alongside the applied work, essays and notes follow questions about knowledge, explanation, and the relationships between ideas. They give Infocean a more personal dimension: a place for sustained inquiry as well as finished work.