Work together
Currently exploring longer-term roles
I am a postdoctoral researcher at the University of Connecticut Human Performance Laboratory and the Korey Stringer Institute. My work sits at the intersection of applied machine learning, wearable sensor signal processing, and reproducible analysis pipelines for exercise and environmental physiology research.
I am open to longer-term opportunities in both directions:
- Postdoctoral fellowships and research scientist roles in academic or national-lab settings working on wearables, biosignal analysis, thermoregulation, or applied ML for human physiology. Comfortable contributing to grant writing, manuscript leadership, and trainee mentorship.
- Industry research and data science roles at health-tech, wearables, or sports-science companies where rigorous statistical modeling, signal processing, and reproducible analysis pipelines feed product or evidence-generation work. Most interested in roles with a research arc, not strictly engineering tickets.
What I bring
Five years of doctoral and postdoctoral work in human physiology with a methods-first orientation. Hierarchical Bayesian and mixed-effects modeling of within-person variability. Continuous physiological time-series from wearable and laboratory instruments (HR, HRV, EMG, core and skin temperature, sweat electrolytes). End-to-end pipelines in R and Python with Docker, Quarto, and proper provenance. Marine Corps veteran; comfortable with security-cleared contexts where they arise. Lead author on peer-reviewed work in Physiological Reports, Metabolites, and Springer book chapters.
How to start a conversation
Email is the best way: jacob.bowie2@gmail.com. A useful first message usually includes:
- Who you are and which role or collaboration you have in mind
- A one-paragraph summary of the question, dataset, or product context
- Constraints I should know up front (timeline, location, security, IP)
I read messages most days and reply within a few business days. For roles specifically, the CV (PDF) is the up-to-date one-pager. For technical examples, the portfolio homepage and the GitHub profile are the front doors.
Open to collaborations
If you are a researcher with a wearables or physiology dataset that needs modeling help and a co-author rather than a service contract, please get in touch. I have benefited from many of these conversations and try to pay them back when I can.