Lorenz
Heiler.
Bridging mechanistic neuroscience, machine learning, and exploring creative direction.
Imperial College London
Comp. Neuroscience
Evaluating Computational Brain Models as Dimensionality Reduction Methods for EEG.
A deep dive into computational neurodynamics and machine learning. Benchmarking mechanistic vs. data-driven models to compress neural signals with higher precision and interpretability. Supervised by Dr. Pedro Mediano and Dr. Gregory Scott.
Focus
Computational Neurodynamics & ML Systems
Findings
Hybrid models have the potential to combine the interpretability of mechanistic models with the performance of data-driven models.

Academic Work
2023 — Present
Evaluating Computational Brain Models
Benchmarking mechanistic vs. data-driven methods for EEG dimensionality reduction. Exploring hybrid deep learning approaches.
Image to Image Alignment with 3D Priors
3D face reconstruction and illumination matching under Prof. Markus Gross. Improving alignment accuracy in challenging conditions.
Technical Work
+ Technical Capabilities +
Layer 01: Skills // Trying to find The Wired
+ Fluent +
+ Specialized +
+ Toolset +
MUSIC
GRADIENT COLLECTIVE
CO-FOUNDING EXPERIMENTAL AV COLLECTIVE. SOUND MEETS EXPERIENCES.

DJ SET @ PROVITREFF
SYNTHPOP. HYPERPOP. SEXTRANCE. RECORDED LIVE.
Currently working on transitioning my Master's thesis at Imperial College into a formal publication.
- Large-Scale AI Implementation
- R&D (AI/ML & Comp Neuro)
- Computational Medicine & Neurotech





