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Julian Minder

Julian (Konstantin) Minder

About Me

I am a PhD student at DLAB at EPFL, where I am supervised by Prof. Robert West and co-advised by Prof. Ryan Cotterell (ETH Zurich).

I am passionate about understanding and improving artificial intelligence systems. My work focuses on making AI systems more transparent and trustworthy through interpretability research, with the goal of enhancing model robustness and reducing bias. I aim to better understand how these systems work and how we can make them safer.

I completed my master's degree in computer science at ETH Zurich in 2024, following earlier studies in computer science and neuroinformatics at the University of Zurich. I wrote my master's thesis at EPFL under Bob West and Chris Wendler, investigating the mechanistic effects of fine-tuning language models (awarded the ETH medal).

I was a research scholar at MATS 7 working together with Clement Dumas under the mentorship of Neel Nanda to study the differences between base and instruct models.

Currently, I'm working on Model Diffing, a research area focused on understanding the differences between two language models, as well as Training Interpretability, where I investigate the mechanistic effects of training and explore what structures in pretrained models facilitate effective posttraining.

Please feel free to reach out anytime!

For students:

If you're interested in doing a project with me, please reach out via email with the subject "[STUDENT PROJECT] ...", telling me a bit about yourself and your interests. For EPFL students: Please additionally also apply via our lab application system.

News

Dec 2025
I was awarded the Swiss AI PhD Fellowship 2025.
Mar 2025
I was awarded a 1-year scholarship for my work at MATS 7.

Highlighted Publications

Blog Posts