Omer Ufuk Nalbantoglu

A computational approach lets researchers design food-grade dietary supplement formulations for specific metabolic targets, with a dry eye clinical study offering an early proof of concept. At a Glance AI-driven metabolic models help nutraceutical researchers predict ingredient effects on gut bacteria. Digital twin simulations across thousands of microbiome profiles identify dysregulated metabolic pathways.

Esra Sensez translates complex microbiome science into accessible, evidence-based content for Enbiosis Biotechnology. With a background in bioengineering, she works at the intersection of AI-driven formulation technology and scientific communication.

Associate Professor Omer Ufuk Nalbantoglu specializes in bioinformatics, deep learning and microbiome data analysis. He holds patents for AI-based disease diagnostics using intestinal microbiome data, driving the core Enbiosis Biotechnology AI engine.