Federica Milinanni

I am a Postdoctoral Research Fellow in the Department of Industrial engineering and Management Science (IEMS) at Northwestern University, funded by KAW Foundation's Program for Mathematics, working with Prof. Chang-Han Rhee.

Prior to this, I was a postdoctoral fellow at ICERM (Brown University), participating in the program “Stochastic and Randomized Algorithms in Scientific Computing: Foundations and Applications” during the spring 2026.

I received my PhD in Applied and Computational Mathematics from KTH Royal Institute of Technology (Stockholm, Sweden) in 2025, under the supervision of Pierre Nyquist, Olivia Eriksson and Andrei Kramer-Miehe.

My research lies in uncertainty quantification and sampling algorithms, with a focus on Markov chain Monte Carlo (MCMC) methods. I am interested in both theoretical questions and applications, particularly in problems arising from neuroscience and computational biology.