
Areas of expertise
About
I work on the development and application of efficient statistical learning methods and computational tools
for the analysis of large livestock data. My research program centers on combining on‑farm sensor data and
artificial intelligence (AI) techniques for animal monitoring. The general goal is to create decision‑making
tools that will support efficient management decisions. Additionally, we employ high‑throughput
phenotyping alongside modern molecular technologies to investigate the genetic basis of novel and
hard‑to‑measure traits. Our lab mission is to harness top‑notch technologies to improve animal production,
reproduction, welfare and health, ultimately supporting efficient and sustainable livestock farming.
Education
Doctor of Philosophy, Agricultural Animal Breeding
Universidade Estadual Paulista Julio MSQ, SP, Brazil (2020)
Courses
- ADSC 7300: Master's Thesis (Spring 2025)
- ADSC 7000: Master's Research (Spring 2025)
- ADSC 9000: Doctoral Research (Spring 2025)
- ADSC 7000: Master's Research (Summer 2025)
- ADSC 9300: Doctoral Dissertation (Summer 2025)
- ADSC 9000: Doctoral Research (Summer 2025)
- ADSC 8700: Special Problems in Animal and Dairy Science I (Fall 2025)
- ADSC 7000: Master's Research (Fall 2025)
- ADSC 9000: Doctoral Research (Fall 2025)
- ADSC 7000: Master's Research (Spring 2026)
- ADSC 9000: Doctoral Research (Spring 2026)
- ADSC 7300: Master's Thesis (Spring 2026)
Scholarly Works
- Characterization of milk production and composition of four exotic goat breeds in Brazil, SMALL RUMINANT RESEARCH, (2017).
- Multiple regression and machine learning based methods for carcass traits and saleable meat cuts prediction using non-invasive in vivo measurements in commercial lambs, SMALL RUMINANT RESEARCH, (2019).
- Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods, ANIMAL GENETICS, (2021).
- Genome-wide prediction for complex traits under the presence of dominance effects in simulated populations using GBLUP and machine learning methods, JOURNAL OF ANIMAL SCIENCE, (2020).
- A Random Forest-Based Genome-Wide Scan Reveals Fertility-Related Candidate Genes and Potential Inter-Chromosomal Epistatic Regions Associated With Age at First Calving in Nellore Cattle, FRONTIERS IN GENETICS, (2022).
Contact
Mailing Address
425 River Road
Athens, GA 30677
Shipping Address
425 River Road
Athens, GA 30677