Tips

Anyone who can code can make predictions with a machine learning (ML) model. But you need to know more than PyTorch or Scikit Learn to do ML. You need to know how to evaluate models and design experiments.

How I manage my papers and paper notes with Obsidian and Zotero, + template!

Many great blogs give a general overview of how to apply Machine Learning (ML) to satellite images. But none of these prepared me for all the steps you need to climb to design ML for satellite data. So, in this blog, I share some challenges you can expect when working with satellite images as an ML engineer.

We need to simplify our message to help people understand our research. Here are some tips on how to communicate complex science.

Outlining feels useless because I can't stick to it anyways. I learned there is a word for my kind of people, and that's intuitive writers. Here I write about how I found a way to write complex texts without outlining.

Making ML-ready datasets for Earth Observation is tricky. Here are some tools to help you get started.

I was a tour guide for three years during my bachelor's. I never thought about concrete skills I learned beyond the vague 'gaining public speaking experience.', but now I understand the valuable skills it taught me that improved my confidence as a speaker

Reviewing projects is a small habit that has helped me feel better and let go. In this blog, I explain what I like about it and how I do it.

I've read productivity books and watched videos so you don't have to. Most focus on the same thing: you need to write down your thoughts for a few minutes before you act. In this blog, I explain this strategy and share how it has helped me make better decisions.

We've all been there. You're so well prepared, but you realise you completely oversaw some important detail, and you heart drops. I use these as opportunities to improve my next workshop.