Marios Andreou

PhD Student, University of Wisconsin–Madison
  • United States of America

About Marios Andreou

I'm a fifth-year PhD student in the Department of Mathematics at the University of Wisconsin–Madison. My PhD advisor is Prof. Nan Chen.

My research lies at the intersection of applied and computational mathematics, particularly in the development and utilisation of frameworks for the study of complex stochastic dynamical systems that arise in atmospheric, oceanic and climate science, nonlinear geophysics, and fluid mechanics. My work typically involves tools from statistics and probability, such as information theory, data assimilation, uncertainty quantification, machine and deep learning, and optimisation.

I hold an MA in Mathematics from the University of Wisconsin–Madison and a BSc in Mathematics and Statistics with a focus on Applied Mathematics from the University of Cyprus.

Intro Content

Nature Communications

What if We Identified Causes From Their Effects? — Assimilative Causal Inference

Assimilative causal inference is a new mathematical framework where causes are traced backwards from their observed effects, shifting the classical paradigm of predictive causality.

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