Lucas Amoudruz

Lucas Amoudruz

Research Associate & Lecturer
Harvard University, CSE Lab

Email: amlucas@seas.harvard.edu
Scholar: Lucas Amoudruz
ORCID: 0000-0002-2688-5949
Github: amlucas
Full CV (PDF): Last updated April 2026

Lucas Amoudruz

Most of the systems I study only show part of themselves. We can't watch individual blood cells flowing through capillaries. We can't see all cancer cells around tumors. We can't predict the effect of unresolved scales in turbulent flows. My work is often about inference: using large-scale simulations, probabilistic methods, and machine learning to reconstruct what can't be seen directly, whether that's a hidden state, a past event, or what comes next. Sometimes the question is simpler: will a rare event happen at all, like the pyroconvective storms that wildfires sometimes propel into the stratosphere?

Education

Ph.D. Mechanical Engineering — ETH Zurich 2016 – 2022
Simulation and control of artificial microswimmers in blood
Advisor: Petros Koumoutsakos
MSc Computational Science and Engineering — EPFL 2013 – 2016
BSc Physics — EPFL 2010 – 2013

Academic Appointments

Lecturer — Harvard University 2025 – present
Research Associate — Harvard University 2022 – present
Postdoctoral Fellow — Harvard University 2022 – 2023

Publications

2026

L. Amoudruz, S. Litvinov, C. Papadimitriou, P. Koumoutsakos. "Bayesian inference for PDE-based inverse problems using the optimization of a discrete loss", Computer Methods in Applied Mechanics and Engineering, Vol. 455, pp. 118903 (2026)

Y. Guan, L. Amoudruz, S. Litvinov, K. Jakhar, R. Mojgani, P. Koumoutsakos, P. Hassanzadeh. "Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning", arXiv preprint (2026)

L. Rivetti, G. Buti, L. Amoudruz, A. Ajdari, G. C. Sharp, A. Studen, R. Jeraj, T. R. Bortfeld. "Probabilistic clinical target definition with nearest neighbor correlation", Physics in Medicine & Biology, Vol. 71, No. 1, pp. 015031 (2026)

2025

L. Amoudruz, G. Buti, L. Rivetti, A. Ajdari, G. Sharp, P. Koumoutsakos, S. Spohn, A. L. Grosu, T. Bortfeld. "Ising energy model for the stochastic prediction of tumor islets", arXiv preprint (2025)

L. Amoudruz, S. Litvinov, R. Murri, V. Eyrich, J. Zudrop, C. Bekas, P. Koumoutsakos. "Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries", Computer Physics Communications, pp. 109967 (2025)

L. Amoudruz, S. Litvinov, P. Koumoutsakos. "Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning", Physics of Fluids, Vol. 37, No. 7, pp. 071703 (2025)

L. Amoudruz, P. Karnakov, P. Koumoutsakos. "Contactless precision steering of particles in a fluid inside a cube with rotating walls", Journal of Fluid Mechanics, Vol. 1014, pp. A15 (2025)

D. Alexeev, S. Litvinov, A. Economides, L. Amoudruz, M. Toner, P. Koumoutsakos. "Inertial focusing of spherical particles: The effects of rotational motion", Physical Review Fluids, Vol. 10, No. 5, pp. 054202 (2025)

P. Karnakov, L. Amoudruz, P. Koumoutsakos. "Optimal navigation in microfluidics via the optimization of a discrete loss", Physical Review Letters, Vol. 134, No. 4, pp. 044001 (2025)

2024

L. Amoudruz, A. Economides, P. Koumoutsakos. "The volume of healthy red blood cells is optimal for advective oxygen transport in arterioles", Biophysical Journal, Vol. 123, No. 10, pp. 1289–1296 (2024)

2023

L. Amoudruz, A. Economides, G. Arampatzis, P. Koumoutsakos. "The stress-free state of human erythrocytes: Data-driven inference of a transferable RBC model", Biophysical Journal, Vol. 122, No. 8, pp. 1517–1525 (2023)

2022

L. Amoudruz. "Simulations and control of artificial microswimmers in blood", PhD dissertation, ETH Zurich

L. Amoudruz, P. Koumoutsakos. "Independent control and path planning of microswimmers with a uniform magnetic field", Advanced Intelligent Systems, Vol. 4, No. 3, pp. 2100183 (2022)

2021

A. Economides, G. Arampatzis, D. Alexeev, S. Litvinov, L. Amoudruz, L. Kulakova, C. Papadimitriou, P. Koumoutsakos. "Hierarchical Bayesian uncertainty quantification for a model of the red blood cell", Physical Review Applied, Vol. 15, No. 3, pp. 034062 (2021)

2020

D. Alexeev, L. Amoudruz, S. Litvinov, P. Koumoutsakos. "Mirheo: High-performance mesoscale simulations for microfluidics", Computer Physics Communications, Vol. 254, pp. 107298 (2020)

D. Wälchli, S. M. Martin, A. Economides, L. Amoudruz, G. Arampatzis, X. Bian, P. Koumoutsakos. "Load balancing in large scale Bayesian inference", Proceedings of the Platform for Advanced Scientific Computing Conference, pp. 1–12 (2020)

2017

A. Economides, L. Amoudruz, S. Litvinov, D. Alexeev, S. Nizzero, P. E. Hadjidoukas, D. Rossinelli, P. Koumoutsakos. "Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure", Proceedings of the Platform for Advanced Scientific Computing Conference, pp. 1–13 (2017)