About
My research
I'm a postdoctoral researcher at the Alfred Wegener Institute, building Julia-based glacial hydrology models to couple them to ice-sheet flow models. Subglacial water pressure controls basal sliding, which in turn controls how fast ice reaches the ocean — making hydrology central to projecting sea-level rise from ice sheets like Antarctica and Greenland.
If you're interested in collaborating, have questions about my code, or are looking at glacial hydrology / ice-sheet coupling yourself, please get in touch.
Current Project
FastHydrology.jl — a Julia framework for glacial hydrology
FastHydrology.jl provides shared grid, state, and simulation infrastructure that different glacial hydrology models plug into, computing the effective pressure at the base of an ice sheet — the quantity that couples subglacial water to basal sliding. It can run standalone or be coupled into a larger ice-sheet model such as Yelmo.
It currently implements two models: the fast, simplified model of Kazmierczak et al. (2024), which routes distributed subglacial water flux over the geometric potential and parameterizes effective pressure for both hard and soft beds with an automatic switch between channelized and distributed drainage; and Shakti.jl, my Julia xPU finite-difference solver for the SHAKTI glacial hydrology model. Shakti.jl is a standalone package in its own right, and is also wrapped inside FastHydrology.jl so it can share the same grid/state/simulation infrastructure and drop straight into an ice-sheet coupling.
A general Julia framework for simulating glacial hydrology, designed to plug into ice-sheet models.
A Julia xPU finite-difference solver for the SHAKTI glacial hydrology model — usable standalone, and wrapped inside FastHydrology.jl.
Publications
Papers from my PhD
Work below is from my PhD in tensor networks, lattice gauge theory, and quantum computing (2022–2025).
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Preparation of initial states with open and periodic boundary conditions on quantum devices using matrix product states
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Meson thermalization with a hot medium in the open Schwinger model
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First-Order Phase Transition of the Schwinger Model with a Quantum Computer
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Concurrent VQE for Simulating Excited States of the Schwinger Model
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Computing the Mass Shift of Wilson and Staggered Fermions in the Lattice Schwinger Model with Matrix Product States
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Mass Renormalization of the Schwinger Model with Wilson and Staggered Fermions in the Hamiltonian Lattice Formulation
Academic Record
Positions & education
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2026 — present
Postdoctoral Researcher
Alfred Wegener Institute (AWI)
- Developing Julia-based glacial hydrology models to couple to ice-sheet flow models
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2022 — 2025
PhD, Theoretical Physics
DESY & Humboldt University of Berlin
- Focus: tensor networks, quantum computing, lattice gauge theory
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2020 — 2021
MSc, Physics — First Class Honours
University of Cambridge
- Ranked 16th out of 107
- 2017 — 2020 BSc, Natural Sciences University of Cambridge
Skills
Programming
Julia, Python
Scientific Computing
Numerical PDEs, fluid dynamics, optimization, graph theory, tensor networks
Languages
Greek (fluent), English (fluent), German (B2)
Contact
Get in touch
I always welcome contact about potential collaborations, potential students, a scientific discussion, and feedback.