Lucas M. Moschen

PhD Student at Imperial College London
London, UK

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Curious and passionate mathematician

Aspiring scientist

Science fiction fan

I am a PhD researcher in Mathematics at Imperial College London, specializing in Optimization, Control Theory, and Partial Differential Equations. My research focuses on PDE-constrained optimization, particularly developing control methods for the McKean-Vlasov and Fokker-Planck equations or other PDE models that arise from diffusion processes, with applications in physics, social sciences, and biology.

I am currently funded by the Roth PhD Scholarship under the CNRS-Imperial Joint Program, and have received previous academic awards, including the PGSM Master Scholarship, the PICME Scholarship, and support from the CDMC Talent Program during my academic journey

My enthusiasm for mathematics initiated early on, earning my first recognition at the Brazilian Mathematical Olympiad of Public Schools (OBMEP), where I was exposed to a junior scientific initiation program (PIC) focused on algebra, number theory and geometry.

During my academic journey, I have had the privilege of working with all my supervisors on diverse topics in optimal control, epidemiology, PDE, and statistics, with a focus on improving methods in Applied Mathematics.

Academic Background

Research Interests

  • Optimal Control Theory
  • PDE-Constrained Optimization
  • Mathematical Modeling in Biology & Epidemiology
  • Data Science & Computational Methods

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Announcements

May 19, 2025 For the next 20 days I will be in Paris visiting Urbain Vaes at CERMICS. The goal is to discuss another projects that could be related to my PhD.
May 12, 2025 I will be attending the EECI Spring School on Dissipativity in Optimal Control - Turnpikes, Predictive Control, and Uncertainty from 12/05/2025 to 16/05/2025. The professors are Lars Grüne and Timm Faulwasser.
Apr 14, 2025 I presented my work to the president of CNRS and other members in Paris for the CNRS-ICL Lab!
Apr 6, 2025 I am going to participate this week in the EPSRC StatML and Bocconi Spring School on Computational Optimal Transport and Statistical Learning with Missing Values. I will present this poster. I think it’ll be a good opportunity to relate my work with Optimal Transport and statistics.
Mar 20, 2025 Two of my papers, co-authored with collaborators, are now available on arXiv! You can find this one featuring theoretical results from my master’s thesis and this one presenting my first work on PDE-constrained optimization.