Research
Some projects I've worked on over the past years.
Current Research
Binding and bundling in speech: We are trying to understand how humans perform the cognitive processes of binding and bundling in speech. We develop both theory and models and validate these using intracranial recordings. To this end we employ state-of-the-art computational methods.
Recurrent Neural Networks as simple models for spiking activity
Past Research
GW-BSE Study of Chromium Sulfur Bromide
Master's Thesis, Yale University (2024 – 2025)
First-principles many-body perturbation theory study of electronic, optical, and excitonic properties in the layered magnetic semiconductor CrSBr using GW-BSE methods.
Machine-Learned Interatomic Potentials for BaTiO₃
Semester Project, ETH Zürich (2024)
Developed machine-learned interatomic potentials (MLIPs) for barium titanate to reduce computational cost of ab-initio molecular dynamics.
Angle-Resolved Photoemission Spectroscopy & Ultrafast Spectroscopy
Research Internship, OIST (Jul 2023 – Sep 2023)
Performed ARPES measurements on 2D materials to map electronic band structure and explore momentum-space exciton dynamics. Designed and built a fourth-harmonic generation (FHG) setup.
THz LC-Resonators for Ultra-Strong Light-Matter Coupling
Bachelor's Project, ENS Paris (2022 – 2023)
Fabrication and characterization of terahertz metamaterial LC-resonators for ultra-strong light-matter coupling. Work included multiphysics simulations, cleanroom nanofabrication (electron-beam lithography, PVD, Si₃N₄ insulation), and terahertz time-domain spectroscopy. Achieved ~60% absorption at resonant frequency.
Actin-Based Motility
Research Internship, ENS Paris (2022 – 2023)
Reserach on actin-based motility using coated polystyrene beads. Performed microscopy observations, particle tracking, and stochastic analysis of bead trajectories.