Christina Humer (she/her)

I am a postdoctoral fellow at the ETH AI Center. Together with the Interactive Visualization & Intelligence Augmentation (IVIA) Lab, the Digital Chemistry Lab (DCL), and the Space Geodesy Lab, I research how to mitigate climate change using AI and visual analytics.

I did my PhD at Johannes Kepler University Linz, Austria at the Visual Data Science Lab under the supervision of Prof. Marc Streit. My PhD focused on increasing human understanding of machine learning techniques by combining XAI and visual analytics techniques. I completed my BSc in Computer Science and my MSc in Data Science at the Johannes Kepler University Linz.

During my PhD, I did a research exchange at the MIT-IBM Watson AI Lab for three months under the supervision of Dr. Hendrik Strobelt where I worked on interpretation techniques for understanding multi-modal models. I also did a five-month internship at the Mila Quebec AI Institute under the supervision of Prof. David Rolnick. In this project my research focused on using machine learning for accelerating scientific discoveries for climate change mitigation. In an ongoing collaboration with David Rolnick’s Lab, we develop an active learning algorithm for designing electrocatalysts using GFlowNet for catalyst generation.

Climate change mitigation is a big personal interest. I am part of klimadashboard.org - a group of volunteers intending to make the climate crisis better comprehensible.

Education

Contact

christina(at)humer.dev