Hey there!
You appear to have landed on my website.
My name is Nicolò Ruggeri, I am a Machine Learning Scientist with an interest for generative modelling and applications in biology.
Previously, I obtained a Ph.D. within the Max Planck ETH Center for Learning Systems, in between MPI for Intelligent Systems (Tübingen) and ETH (Zürich).
There, I was co-supervised by
Caterina De Bacco and
Fanny Yang.
My research revolves around probabilistic methods in machine learning and their applications. Lately, I have also been tackling complex problems in biology with a variety of these tools.
Some keywords that might or might not make sense include:
- Generative modelling
- Diffusion methods & affine
- Protein design
- Foundational models for omics
- Variational inference
- Ranking on networks
- Variational autoencoders
- Interpretability and disentanglement
- Graphs
- Modelling of network-type data
- Community detection
- Message passing, EM-inference and general probabilistic inference
I also have a keen interest in clean and efficient code.
So feel free to get in touch!