Javier
Ph.D. | Crop Physiology
Combining plant physiology and data analytics for agronomic and ecological research.
Combining plant physiology and data analytics for agronomic and ecological research.
I am a Post-Doctoral Research Fellow at The University of Queensland, Australia. I am strongly passionate about plant physiology, crop production, and applied statistics & programming.
In my research, I investigate how past genetic improvement has modified resource capture and utilization in crop species. Mathematical models incorporates this knowledge to identify new opportunities for enhancing genetic gain and resilience to changing environmental conditions.
Here are some of my interests:I am currently engaged in the use of statistical, digital, and model technologies to assess crop growth and development, with the overall goal of enhancing production, resource use efficiency, and sustainability of agricultural systems in Australia.
We have multiple opportunities for agricultural and maths/IT/engineering students to enrol or be co-supervised in research with our teams. Please, get in contact for more details.
I am currently working as a Post-Doctoral Researcher at Kansas State University. I work collaboratively with faculty from the College of Agriculture on sustainable agriculture and resilience of farming systems in Kansas.
During my years as a Ph.D. student & Graduate Research Assistant, I have:
I worked in the agricultural unit that achieved a global vision and analysis of field crops using UAV and satellite imagery data:
Over two years of experience working with farmers and industry as crop advisor and precision Ag consultant:
I worked as an undergraduate research assistant from the National Interuniversity Council (EVC-CIN) at UNNE (Universidad Nacional del Nordeste), Argentina. My research included:
Additionally, I worked as graduate and undergraduate teaching assistant for over 4 years in three undergraduate courses (Crops I, Phytopathology, and Genetics and plant breeding):
Dissertation title:
Academic merit recognition with distinguished GPA of 2016 (equivalent to Magna Cum Laude).
Dissertation title:
Related publication: