Biography
Hello! I am Federico Bianchi, I am a post-doctoral researcher at Stanford University with Prof. Dan Jurafsky.
You can find my work in the main track of different AI venues (e.g., AAAI, ACL, ICLR, NAACL, EACL) and Journals (e.g., Cognitive Science, Nature PJQI) and my work as also been featured in press or in company media outlets (see, 1, 2, 3, 4).
I have experience in building and deploying large language models (e.g., FashionCLIP), model understanding (e.g., VLMs Analysis) and fairness in recommender systems (e.g., EvalRS).
I recently joined the Giving What We Can initiative and donate monthly; You should consider joining, if you can. While I haven’t formally pledged yet, I hope to be able to do so soon.
- Artificial Intelligence
- Natural Language Processing
- Capybaras
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PhD in Computer Science, 2020
University of Milano-Bicocca
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MSc in Computer Science, 2016
University of Milano-Bicocca
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BSc in Computer Science, 2014
University of Milano-Bicocca
Outreach
- 2023 I was invited to an online seminar on Large Language Modeling by Outerbounds.
- 2023 I shared some opinions on recent generative tech for MIT Technology Review, my paper was also featured in another issue of MIT Technology Review.
- 2023 Invited to talk about bias in text-to-image models at Pointer Podcast (In Italian. Spotify)
- 2022 Invited to talk at the Neptune MLOps podcast on testing recommeder systems (Spotify, Youtube)
Research Philosophy
I think scientific research should be easy to access and to replicate. You can find most of my papers on ArXiv and on open access platforms - unfortunately, this is not always possible. The code I write is available online and I try to make it easy to use so that everyone can benefit from it.
I also try to actively participate in scientific communication. I have many blog posts online, explaining different research topics to the public and I am also part of the ComIntArt (Comitato Intelligenza Artificiale) where I do videos for the Italian public (see for example, this video on GPT-3 limits).
