Agricultural and Life Sciences (IFAS)
Bliznyuk Lab for Applied Statistics in IFAS (BLAST) (UF/IFAS BLAST)
Led by Nikolay Bliznyuk · Agricultural and Biological Engineering
What we study
The lab uses statistics and machine learning to analyze complex data from agriculture, health, and environment. They develop tools for predictive modeling and decision-making using Bayesian methods and computational techniques.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Lab values in neonates with hypoxic ischemic encephalopathy over time during and after therapeutic hypothermia
2026 · Frontiers in Pediatrics
Tracks lab values in newborns with brain injury during and after cooling treatment.
- Phosphorus fertilization increases fresh-market tomato yield in Central Florida sandy soils testing high in Mehlich-3 phosphorus
2026 · Scientia Horticulturae
Checks if phosphorus fertilizer boosts tomato yields in high-P sandy Florida soils.
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- Identifying Agricultural Injuries Requiring Trauma Care in Florida
2026 · Safety
Identifies agricultural injuries needing trauma care using Florida trauma registry data.
- Estimation of Probability of Pregnancy Based on Health Status and Estrus Intensity in Organic Dairy Cows
2026 · Dairy
Links health events, estrus intensity, and pregnancy chances in organic dairy cows.
- Cell line specific Contactin-2+ extracellular vesicles vs circulating cell-free microRNA: A proof of concept examination of diagnostic accuracy as the standard to evaluate EV/small EV biomarkers
2026 · Extracellular Vesicle
Tests if cell line-specific extracellular vesicles improve diagnostic accuracy for brain injury.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Nikolay Bliznyuk hasn't set up this page yet. Their UF Scholars profile lists their publications.