Georgina Hall

Welcome to my webpage!

I am an Assistant Professor at INSEAD in the Decision Sciences area. I officially joined in September 2019 (but was around campus from September 2018 to December 2018).

Prior to September 2019, I was lucky enough to be a postdoc under Laurent Massoulie in the DYOGENE team at INRIA from January 2019 to September 2019.

I did my PhD studies at Princeton University, in the department of Operations Research and Financial Engineering, where I was also a Gordon Y. S. Wu fellow. I received my PhD in May 2018 under the fantastic supervision of Amir Ali Ahmadi. I received my Bachelor of Science from Ecole Centrale Paris, France, in 2011 and my Master of Science from the same university in 2013.

Recent News:

Very happy to have received the Core Course Teaching Award for my Machine Learning & Optimization course from the MIM '22 class!
Very happy to have been a finalist for the 2021 Tucker prize. See the citation here.
I supervised Siddarth Raghuvanshi, MIM '21, on his ISP - here is a link to the very nice article he wrote over the course of the project!
So lovely to have been nominated for a Teaching Award for my Machine Learning & Optimization course by the MIM '21 class!
Two new papers out, one with Philippe and Andre, and one with Amir Ali and Cemil. Check out my publications tab!
It was fun chairing a Tech Talk X on Algorithms under Attack with Pavel. The video is available here.
Excited to have received the 2020 Information Theory Society Paper Award with Emmanuel Abbe and Afonso Bandeira as well as Elchanan Mossel, Joe Neeman, and Allan Sly.
New paper out with Laurent on partial recovery in the graph alignment problem.

Contact:

Email: georgina.hall@insead.edu

Office: PMLS 0.16, INSEAD Fontainebleau Campus, Boulevard de Constance, Fontainebleau, France