Hamze Dokoohaki is a Director of AI and scientist-engineer with 11 years of experience building ML systems that bridge ecology, digital agriculture, and healthcare. He combines a PhD in crop modeling with hands-on data science—contributing to ecological open-source tools like the PEcAn project—and thrives on messy problems and imperfect data. His career spans academia (Adjunct Professor and former Assistant Professor), industry leadership at Indigo and Blooming Health, and entrepreneurship as founder of Kashef AI. Known for thinking in systems, he translates domain complexity into robust, production-ready models and pipelines that inform real-world decisions.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Water Engineering, Bachelor of Science (BSc) Water Engineering at Shiraz University
Doctor of Philosophy (Ph.D.) Crop modeling, Doctor of Philosophy (Ph.D.) Crop modeling at Iowa State University
Master of Science (MSc) Irrigation and Drainage, Master of Science (MSc) Irrigation and Drainage at Isfahan University of Technology
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Data Scientist
Contributions:694 commits, 40 PRs, 207 comments in 2 years 1 month
Contributions summary:Hamze fixed an input for a restart in an R script, suggesting the code is related to simulation. They also added a new soil process based on gSSURGo by extracting soil data. Furthermore, the user made several updates to a related R script and created a function and added a new attribute.
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Contributions:522 pushes, 45 branches in 2 years
integratedtoolboxpecanmeta-analysispredictive
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