Olga Movilla Miangolarra
Papers
1
Total Citations
6
H-Index
1
About
Olga Movilla Miangolarra is a researcher whose work sits at the intersection of statistical physics, stochastic processes, and data-driven dynamics. Her primary focus is on developing theoretical frameworks to infer the underlying rules governing complex systems from limited observational data. Her most notable contribution is the 2024 paper "Inferring potential landscapes: A Schrödinger bridge approach to maximum caliber," which has already garnered 6 citations in a short time. In this work, she elegantly bridges the Schrödinger bridge problem—a mathematical tool for interpolating probability distributions over time—with the principle of maximum caliber, offering a powerful new method to reconstruct the stochastic dynamics and potential landscapes of systems from only marginal observations at discrete time points. This approach has profound implications for fields ranging from biophysics to finance, where direct observation of microscopic dynamics is impossible. By providing a rigorous yet practical pathway to unveil hidden dynamics, Movilla Miangolarra is establishing herself as a rising voice in non-equilibrium statistical mechanics and inference theory.
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