Daniele Paliotta

Hi 👋 ! I’m Daniele. I am PhD candidate in the Machine Learning Group at the University of Geneva, under the supervision of François Fleuret. My focus is on transformers, LLM systems and efficiency, and alternative architectures.

Recently, I was a research intern at Cartesia working on multimodal and TTS foundation models (transformers, state space models, linear RNNs) with a strong focus on efficiency.

Previously, I was a researcher at Together AI supervised by Tri Dao, where I worked on LLM distillation, efficient inference, and developed speculative decoding for Mamba/linear RNNs.

In a previous life, I have worked as a software engineer, I have done machine learning at Truelayer, and I have played in Capture the Flag competitions.

I also love sailing, reading, writing fiction, cooking and playing guitar.

You can follow me on Twitter, or find me on Linkedin.