I will be in Boston from end of May to end of November visiting the AI4LIFE group. If you are around and want to talk about cool research ideas please do reach out. I am more than exited to talk to other researchers!

About Me (David Zollikofer)

Since some of my material might also be useful to others I have decided to create this humble website.

I am a computer science grad student at ETH Z├╝rich with a background in theoretical computer science and machine learning.

My main interest is building robust and interpretable algorithms and AI models for solving real-world problems, believing that explainable 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.

Programming background

The following is a non-complete list of languages and frameworks I am experienced with:

  • Professional: Java, Python
  • Advanced: Go, LaTeX, C, PyTorch, Haskell
  • Intermediate: C#, SQL, Tensorflow, Assembly (MIPS, x86), C++, Verilog, Scala, OCaml
  • Beginner: PHP, JavaScript, R

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: