Simone Giancola's webpage

Hello World!

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3113-WS03, Bldg 12, 4700 KAUST

Thuwal 23955-6900, Saudi Arabia

I am a Research Intern at KAUST in Prof. Richtárik’s group, focusing on Optimization! Previously, I was a Research Intern @ENS Paris under the supervision of Bruno Loureiro, exploring Stochastic Gradient Descent dynamics beyond the unstructured assumption. Last summer, I was a Research Intern @IST Austria under the supervision of Prof. Marco Mondelli, where I worked on Approximate Message Passing and Information Theoretic limits of a model of inference.

I graduated with an MS in Data Science at Bocconi University. My supervisor was Prof. Carlo Lucibello. Before my graduate studies, I completed a Bachelor in Economics and Computer Science.

  • 🛠 My main research interests are Theory of Learning and of Neural Networks broadly

  • 👨‍💻 Give a look at the writings and talks sections to see what I do!
    • writings hosts both long and short documents
    • most talks are paired with a short writing
  • 📧 Feel free to email me at simonegiancola09 at gmail dot com, or see below different platforms where you can find me.

Check this blog post if you want to know more about what I like out of research.

The prompt I gave to Dall-E2 for the suprinsingly self resembling image was

“Van Gogh style painting of an Italian boy in his 20s with a shirt and eyeglasses, brown curly hair, brown eyes”

Perharps I am a ground state of some Open AI’s ML pipeline…

news

Apr 15, 2024 Thrilled to make a meta-update! This month, I have graduated from Bocconi University with a MS in Data Science! Thanks to my awesome supervisor Carlo Lucibello for 5 years of mentorship. Since February I am also interning at KAUST in Prof. Richtárik’s group, focusing on Optimization!
Dec 26, 2023 Came back home for the holidays, happy to see family and friends. I will take some time to finish my Thesis and some documents I have been writing up, as well as continue with the Austrian and French research. Stay Tuned (hopefully) for updates on the Ph.D. application process and new destinations!
Oct 1, 2023 very excited to share that I will continue as a Research Intern at Ecole Normale Superieure (ENS). I will be in Bruno Loureiro’s group and work on Stochastic Gradient Descent for structured data.
Jun 1, 2023 super happy to share that I am a Research Intern at the Institute of Science and Technology Austria (ISTA). I will be in Prof. Marco Mondelli’s group and work on Statistical to Computational Gaps, Information Theory, Algorithms and Message Passing!
Mar 31, 2023 did two lectures. A long one about the connection between percolation and spin systems and a shorter one based on a paper about Statistical Physics applied to Neural Networks. Both are found in “talks”