Johan Dahlin

PhD Candidate

Stockholm, Sweden
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Summary

👤
Senior
🎓
Top School
Johan Dahlin is a business-minded PhD candidate in Stockholm with 11 years of experience building AI-driven solutions that bridge data, algorithms and real-world impact. At AgriOpt he helps develop Freja, an AI-powered digital assistant that synthesizes multi-source data to optimize planting, fertilization and harvesting—making advanced agritech accessible to farmers worldwide. He combines academic rigor from a PhD with practical product sensibility, focusing on sustainable increases in food production while reducing environmental impact. Passionate about measurable change, Johan is as comfortable discussing algorithm design as he is recruiting talent to scale mission-driven software. An understated strength is his ability to translate complex research into user-friendly experiences that drive adoption beyond specialist audiences.
code11 years of coding experience
bookBachelor of Science (BSc), Bachelor of Science (BSc) at Umeå University
bookDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Linköping University
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Github Skills (11)

non-linear-model10
matlab10
monte-carlo10
particle-filter10
system-identification10
python9
inference7
decrypt6
signal6
backup4
encryption4

Programming languages (2)

RGo

Github contributions (5)

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compops/gpo-smc-abc

Nov 2016 - Nov 2017

Contributions:2 releases, 24 commits, 52 pushes in 1 year
compops/pmh-tutorial

Jun 2017 - Apr 2019

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Contributions:3 releases, 50 commits, 82 pushes in 1 year 10 months
inferencenon-linear-modelmonte-carloparticle-filterparticle-metropolis-hastings
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