Dr. Fabian Wilde · docwilde

Physics. Electronics.
Intelligent software.

I work across scientific instrumentation, data analysis and machine learning. Today I work as an AI engineer and build Ampiric and open-source tools for agent fleet supervision, alignment and persistent shared graph memory.

Explore my work →

About me ↓

01 / Background

From physical systems
to intelligent tools.

I worked across fusion plasma physics research, deep tech, AI and data analytics.

Later I taught Python and machine learning methods at university, worked on EUV scanners and their simulation at ASML and at Volkswagen on data analysis for their planned autonomous vehicle fleet based on the ID.Buzz.

My interests include cybersecurity, cryptography, data science and machine learning.

PhD · KIT

Research at Max Planck IPP, Greifswald · Wendelstein 7-X

MSc · Leibniz University Hannover

Electronics & semiconductor physics

02 / Experience

Research, teaching and industry

AmpiricCURRENT · CO-FOUNDER & CRO
Causal reasoning for financial AI
Building Ampiric, with a focus on causal model architecture and reasoning grounded in traceable evidence.
Visit Ampiric ↗
VolkswagenAUTONOMOUS DRIVING
Data analysis for ID.Buzz AD
Used vehicle time-series data to automate behavioural evaluation of self-driving cars in real-world traffic scenarios. Implemented map matching on road networks and extracted scene information with vision-language models (VLMs).
ASMLSEMICONDUCTOR EQUIPMENT
EUV scanners
Experience working on extreme ultraviolet lithography systems.
University of GreifswaldTEACHING & APPLIED ML
Python, machine learning and microscopy
Lecturer in Python and machine learning. Work on image segmentation using U-Net for microscope imagery.
Max Planck Institute for Plasma PhysicsDOCTORAL RESEARCH · GREIFSWALD
Gyrotrons at Wendelstein 7-X
Doctoral research on the gyrotrons used in the electron cyclotron resonance heating (ECRH) facility of Wendelstein 7-X. PhD awarded by KIT.
Wendelstein 7-X ↗