I'm always open to discussing collaborations, supervising master's theses, or exploring opportunities at DDMind. Please do reach out if you feel like we have good overlap!

About Me (David Zollikofer)

Bio

I am a PhD student in Machine Learning + Economics at ETH Zürich supervised by Elliott Ash and Head of Research and Technology at DDMind. I hold a master's degree in Computer Science from ETH Zürich majoring in theoretical computer science.

Research Interests

My main interest is building robust and interpretable algorithms and AI models for solving real-world problems, believing that explainability and trustworthiness in AI is key for the future of human-AI interaction, as we need to understand and trust these systems.

For this I use methods from different fields:

  • Machine Learning
    • Trustworthy / Explainable / Interpretable AI
    • Self-Supervised Learning
    • Adversarial Methods
  • Quantitative Social Sciences
    • Econometrics
    • Algorithmic Fairness

Though, I have worked on a lot of other topics too.

Contact me

If you have a cool project idea please go ahead and contact me! I'd love to talk to you. For collaborations I have created a small site on what motivates me and how I like to work.

Feel free to reach out to me via any of the two mails below:

I would like to have a positive impact with my skill. If you have a project for a good cause and need some technical help, feel free to get in touch with me! (availability will depend on my workload and the project)