Herbert Wertheim College of Engineering
Schiefer Lab
Led by Matthew Schiefer · Biomedical Engineering
What we study
The Schiefer Lab studies obesity and neuromodulation in rodent models and through data analysis. Recent student work compares diet types for mimicking human obesity in rats; the PI's papers also cover vagus nerve stimulation and machine-learning models of deep brain stimulation.
What working here is like
- Wet lab
- Rats
- Coding helps
- Project
- 1
- Papers
- 5
Current projects
A Tri-Diet Model to Enhance Weight Gain in Sprague Dawley Rats: A Comparative Analysis
The lab compares three diet types in rats to see which best mimics human obesity. Students analyze weight and food data from past studies to evaluate the new diet model.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 141
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Vagus nerve stimulation in obesity: a systematic review and meta-analysis
2026 · Frontiers in Neuroscience
Reviews studies on vagus nerve stimulation for obesity, finding mixed results from different setups.
- Comparison of machine learning surrogate models for prediction of single-fiber activation in deep brain stimulation
2026 · Deep Brain Stimulation
Compares AI models to predict nerve activation in deep brain stimulation, balancing speed and accuracy.
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- Tridiet-enhanced weight gain in Sprague Dawley rats: a retrospective analysis
2026 · Frontiers in Nutrition
Looks at how rats gain weight on different diets, finding triple diets may help more than single diets.
- Development of an adaptive, AI-guided, closed-loop control system for Functional Electrical Stimulation Cycling in Spinal Cord Injury
2026 · UF Journal of Undergraduate Research
Tests a smart cycling system for spinal cord injury patients, adjusting stimulation in real time.
- Development and validation of a kinematic hindlimb cycling model for rats
2025 · Scientific Reports
Creates a model to study rat cycling, helping test ways to improve muscle and bone health.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Matthew Schiefer hasn't set up this page yet. You can also look them up in the UF directory (search “Matthew Schiefer”).