Jonathan Jesus Ojeda

Leading development of a Latin America carbon-removal and bioenergy platform converting agroforestry residues into biochar carbon removal and renewable energy. Owns company strategy, capital formation, investor engagement, and commercial partnerships.

Independent scientific and strategic advisory practice focused on carbon, agriculture, environmental modelling, and investment-grade project diligence. Advises corporates, climate funds, and public institutions on carbon-project design and MRV.

Collaborate with the Centre for Sustainable Agricultural Systems on crop-modelling and remote-sensing research and supervise PhD candidates.

Led agronomic science within the CDR Quantification team for large-scale enhanced rock weathering deployments in Brazil. Set scientific strategy for agronomic co-benefit quantification and oversaw field experiments and monitoring programs.

Built and led Brazil science-operations capability for commercial ERW MRV. Recruited and managed a multicultural team, designed field protocols, and co-designed a digital MRV web platform.

First full-time employee and primary scientific lead; built Terradot's scientific foundation, global team, models, and MRV product from inception. Contributed to USD 58.2M Series A and carbon offtake work.

Collaborated on sustainable-agriculture PhD projects and PhD supervision.

Led modelling, digital agronomy, and applied research across climate adaptation, conservation, carbon, and smallholder agriculture. Led Gates Foundation-funded Niche project and built Python-based APSIM platform.

Strengthened Argentina–Australia scientific collaboration; worked with the Argentine Ambassador, reviewed the National Science, Technology and Innovation Plan 2030, and organized international AgTech webinars.

Improved energy and forage sorghum modelling under the US DOE TERRA project; developed pSIMS/APSIM regional workflows and integrated farm, drone, satellite, and LI-COR 6800 measurements.

Led crop, livestock, potato, climate-risk, remote-sensing, and model-uncertainty projects across multiple countries. Developed APSIM climate tools and uncertainty workflows.

Conducted modelling, analysis, publication, grant, teaching, outreach, and honours-supervision work in crop ecophysiology and agricultural systems.

Designed and ran multi-year field and modelling research across Argentinian Pampas sites; calibrated APSIM and studied forage, grain, water, nitrogen, roots, and soil carbon. PhD awarded Summa Cum Laude.

Fulbright/US DOE fellowship. Developed APSIM switchgrass and Miscanthus sub-models, improved maize rotations, and calibrated water and nitrogen flow/drainage using the Purdue Water Quality Field Station.

Modelled lucerne and annual ryegrass using Argentine and Australian datasets; supported high-impact publications.

Managed field experiments, supported seed-marketing projects, advised agricultural clients, delivered grower talks, and solved production problems in commercial settings.

Taught more than 100 students and contributed to research and curriculum development, building an early foundation in quantitative reasoning and scientific communication.

Designed and conducted a sunflower field experiment, analysed data, wrote the manuscript, and completed the Agricultural Engineering honours dissertation.

Grade: 8.8/10

Doctorate in Agricultural Sciences with a focus on crop ecophysiology and crop-soil modelling. Dissertation on precipitation use efficiency in forage systems, awarded Summa Cum Laude.

Grade: 8.8/10

Agricultural Engineering degree with a dissertation on sunflower plant population density response. Graduated with a GPA of 8.8/10.