Jaisidh Singh

I am a master’s student at the University of Tübingen studying machine learning and a fellow at Zuse School ELIZA. I’m also a guest researcher at the Max Planck Institute for Intelligent Systems Tübingen advised by Antonio Orvieto.

Coming from an engineering background, my approach to machine learning research is one that seeks to better understand the “bells-and-whistles” we add to modern neural networks to make them more practically useful and robust.

My research interests are primarily aligned with but not limited to architecture design, reasoning, and efficient training of foundation models.

If you’re interested in collaborating or chatting about these topics, reach out to me via X or email. I like getting messages!