
Corentin Laudicina
@corentinlaudicina
Theoretical physicist at Eindhoven University of Technology building Python and Julia solvers for constrained systems.
What I'm looking for
At Eindhoven University of Technology, I build high-performance solvers and optimisation engines for constrained hard-sphere packing problems, using Monte Carlo and energy-minimisation routines in Python and Julia on HPC clusters.
I automated analysis of about 5TB of simulation time-series data across large parameter sweeps. The reusable statistical analysis pipelines I implemented were adopted team-wide to test model hypotheses.
I calibrate quantitative models against large-scale simulation data and validate results against finite-size effects and other systematic biases. I’m actively seeking quant research roles in energy and power markets.
In collaborative research at Colorado State University, I identified the microscopic mechanism behind a key dynamical crossover in glassy systems, resolving a long-standing open problem and resulting in a publication in Physical Review Letters.
Experience
Work history, roles, and key accomplishments
- Built high-performance solvers and optimisation engines (Monte Carlo and energy-minimisation routines for constrained hard-sphere packing problems, custom stochastic integro-differential-equation solvers) in Python/Julia on HPC clusters.
- Automated analysis of $\sim$ 5TB of heterogeneous time-series simulation data across large parameter sweeps. Implemented re-usable and scalable pipelines for
Collaborative research with Prof. G. Szamel; resolved a long-standing open problem in the field by identifying the microscopic mechanism behind a key dynamical crossover in glassy systems, resulting in publication in Physical Review Letters, one of the most selective and highly-cited journals in physics.
MSc. Research : Dynamical Heterogeneity in Supercooled Liquids approaching the Glass Transition - Non-Equilibrium Soft Matter group led by Prof. L.M.C. Janssen
Performed computer simulations (C++) to study emergent mechanical behaviour of disordered spring networks under external forcing.
Theoretical study of nuclear wobbling motion using collective models in their classical limits under the supervision of Dr. P. Van Isacker. Calculation of nuclear moments of inertia and derivation of appropriate equations describing nuclear motion in space with proposed analytic solutions via the theory of elliptic functions. Interpretation of results using the symbolic language Mathematica and co
Education
Degrees, certifications, and relevant coursework
University of Leeds
Bachelor of Science, Physics
First Class Honours
Universiteit Utrecht
Master of Social Science, Physics
Minor in Quantitative Biology
Eindhoven University of Technology
Doctor of Philosophy - PhD, Theoretical Physics
2021 - 2026
Development of Theories for the Structure & Dynamics of Supercooled Liquids
Universiteit Utrecht
Master's degree, Theoretical Physics
2019 - 2021
MSc in Theoretical Physics with Minor in Quantitative Biology
Course Highlights :
Field Theoretic Methods in Statistical & Condensed Matter Physics
Theoretical Soft Matter Physics
Computational Physics (Monte-Carlo, Lattice Models) language : Python - C - Matlab
Complex Systems (Cellular Automata modelling)
Numerical Methods for Dynamical Systems
University of Leeds
BSc Theoretical Physics, Theoretical and Mathematical Physics
2016 - 2019
Course highlights : Advanced Statistical Mechanics, Advanced Quantum Mechanics, Condensed Matter Theory (focus Magnetism), Nonlinear Dynamics, Nonlinear Wave Theory
Final year research : Glass Transition of Polymers in Confined Geometries.
Availability
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