Why AgStat?

Bridging the gap between biological reality and statistical theory.

The Dual-Expertise Advantage

Many teams have either deep domain knowledge or deep modeling expertise—AgStat brings both.

Data Science without agronomic context leads to spurious correlations. Agronomy without advanced statistics misses hidden patterns. By combining both disciplines, AgStat delivers insights that are not only mathematically robust but biologically meaningful.

Principal Consultant

Spyros Mourtzinis, Ph.D.

Owner & Lead Data Scientist

Spyros founded AgStat to support organizations that require high-fidelity analysis of complex biological systems. His background includes tenure as a post-doctoral research associate in Statistics and Plant Physiology at the University of Wisconsin-Madison.

Academic Credentials

Ph.D. in Agronomy Auburn University
MSc in Data Science Athens University of Economics & Business
Master of Probability & Statistics Auburn University