Paul Valsecchi Oliva

During his Mathematics undergraduate degree at UCL, Paul pursued research projects in ML, which resulted in a publication on the use of GANs for PDE solving. During a MSc in Pure Maths at Imperial, he looked into the mixing of stochastic processes driven by fractional Brownian Motions and deepened his understanding of stochastic analysis. This awoke his interest in the interplay of mathematics and ML, something he wants to continue exploring in his PhD. With the supervision of Deniz Akyildiz, Paul has begun exploring Langevin dynamics for MLE, combining his understanding of stochastic analysis with novel approaches in statistical ML.

In his free time Paul is a passionate cook and host, experimenting with recipes from around the world.

2023

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