Agricultural research
Postdoctoral work at USDA-ARS on disease and toxin management in dairy forages — predictive modeling, whole-genome sequencing of Fusarium species, and fungicide resistance under climate change.
See research →Maxwell O. Chibuogwu, PhD
Plant pathologist by training.
Builder by intent.
I research mycotoxins in dairy forages at the USDA, and I'm building AI-driven tools to close the technology gap between Africa and the rest of the world — beginning with weather data Nigerian farmers can actually rely on.
What I'm working on
Three threads, one mission.
AI tools for Africa
Vibe-coded apps that fill technology gaps where governments fall short. First on the bench: a weather product for Nigerian farmers built on modern forecasting APIs while we plan for owned satellite data downstream.
See projects →Writing & public thought
Notes on Nigerian institutions, the practice of science, and what it actually takes to ship civic technology in low-trust environments.
Read writing → Latest writing
All posts → From the journal.
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Building a Corn Disease Risk Dashboard
Introducing a new open-source dashboard tracking daily risk for tar spot, ear rots, southern rust, and mycotoxins across three experimental sites
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The True Quality and Quantity of DNA
A description of effective tools in estimating DNA quantity for genomics
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Why this site exists
A note on what I plan to write here, who it is for, and why a plant pathologist is suddenly building software.
Selected work
All projects → Projects.
- shipped
Correlating Fusarium Presence with DON Production in Silage Corn
Field investigation of how Fusarium graminearum colonization in corn ears and stalks drives DON accumulation — with implications for dairy feed safety.
- DNA extraction
- PCR
- qPCR
- LC-MS/MS
- concept
A weather app Nigerian farmers can actually use
Modern, location-specific weather forecasting for Nigerian agricultural cities — built to replace the static PDF bulletins NiMet still publishes today.
- Astro
- TypeScript
- Open-Meteo API
- Cloudflare Workers
- in-progress
Learning R Through Agricultural Data
An R showcase for agricultural data analysis — code snippets, annotated outputs, and a path to your first working script using real research data.
- R
- ggplot2
- dplyr
- tidyr
Get in touch.
Researchers, builders, and Nigerians shipping things in agriculture or civic tech — I'd love to hear from you. The fastest way is LinkedIn.