Julia Wasala profile picture

Julia Wąsala

AI Researcher | Science communicator

"I want to understand how things work, to build AI for Earth systems we can trust to support our decision-making.

About Me

Julia Wasala profile picture

I'm an AI researcher at the Leiden Institute for Advanced Computer Science (LIACS)and the Space Research Organisation Netherlands (SRON). I design and evaluate machine learning methods for Earth Observation, for instance to find large greenhouse gas emissions from space.

Public engagement with research is very important to me. I write about AI and Earth Observation on my Substack newsletter [NL] and on my blog [EN].

Nothing beats speaking to people directly, so I regularly speak and participate in public AI events.

Research

I research how we can automatically create machine learning methods for Earth Observation applications, such as detecting large greenhouse gas emissions from space. I want to better understand how we can predict the performance and trustworthiness of machine learning models in real life. We all know how AI sysems can break down in the real world, but the well-known problem of bias looks very different in satellite data.

My recent publications (full list on LinkedIn):

More about my research on:

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“I love finding & leveraging surprising parallels and connections. Curiosity drives everything I do. '

Public Engagement

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AI research is so much more than ChatGPT. Did you know that not all AI use that much energy? And that satellite data can also be biased? How you write a good algorithm is not just societally relevant, it's also a fun puzzle.

My main goal in public engagement is connecting with people. I do that through writing, talks, workshop, leading discussions and engaging with kids through events like hackathons. I'm inerested in everybody's take on AI, from all ages and backgrounds.

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Watch & Listen

“Whether I'm researching, writing, or teaching, I don’t want to give a lecture, I want you to feel my enthusiasm!

Teaching

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Machine Learning for Earth Observation is a relatively new field. As a result, I had to learn a lot of lessons the hard way. In my teaching, I help students navigate the world of satellite data and the intricacies of evaluating machine learning pipelines for real-world applications.

I share many of my teaching materials on my Blog