I am a doctoral student at the University of Helsinki in Finland.
Contact Meemail: firstname.lastname@helsinki.fi
Department of Mathematics and Statistics
University of Helsinki
Motivated by the design of nanoscale electronic components, we find protocols to steer a system between assigned initial and final states, such that a trajectory-dependent cost function is minimized in the underdamped dynamics.
Sanders, J., Baldovin, M. & Muratore-Ginanneschi, P. Optimal Control of Underdamped Systems: An Analytic Approach. J Stat Phys 191, 117 (2024). https://doi.org/10.1007/s10955-024-03320-w
We approximate the solution of an optimal control problem minimizing mean entropy production in the underdamped dynamics, modelling Landauer's principle at nanoscale.
A study of Monte Carlo methods that can be used in the numerical integration of PDEs arising in optimal control problems. In particular, we demonstrate the methods with a prototype algorithm for solving a Schrodinger bridge using machine learning.
Teaching Assistant Autumn 2022 & 2023 & 2024
Stochastic Methods BTeaching Assistant Autumn 2023
Bayesian InferenceTeaching Assistant Spring 2021
Personal TutoringPersonal tutoring in mathematics for students aged 16+. My Tutorful Page