"The shift of veterinary pharmacology from a descriptive to a predictive science opens new possibilities for safer, more effective therapies across diverse species and individuals."

As a veterinary pharmacologist, I am driven by a deep curiosity about why different species respond so differently to chemical compounds. These variations—rooted in pharmacokinetics and pharmacodynamics—can be traced to evolutionary adaptations, genetic makeup, diet, and environmental influences. By identifying patterns and uncovering the mechanisms behind these interspecies differences, my research aims to build a predictive framework for veterinary pharmacology.

Mathematical modeling is central to this process, enabling us to move beyond descriptive observations toward a science that anticipates outcomes. This shift not only improves pharmacotherapeutic strategies and risk management across species, but also contributes to reducing the need for animal experiments in biomedical research—by allowing more accurate, mechanism-based predictions without relying solely on empirical testing.

I bring this comparative, evidence-based perspective into my teaching, equipping future veterinarians with the tools to make informed, individualized treatment decisions. While animals often share surprising biological similarities, recognizing and understanding their differences is essential for truly effective and responsible veterinary care.