Christoph Dinh

Work

Selected work

Software and systems I have built or led, in research and in industry. Each entry says what was developed, what my part in it was, and where the work can be examined.

Open-source framework

Screenshot of MNE Inspect with three 3D views of a head and brain: two with a source estimate drawn on the cortex inside a transparent head, one with the cortex coloured by atlas region.
Fig. 1MNE Inspect, the 3D viewer of MNE-CPP. Screenshot from the project documentation.

Since 2010 · Initiator, co-lead

MNE-CPP

An open-source C++ framework for real-time and offline processing of MEG, EEG and related electrophysiological data. It provides the MNE methods as libraries with few dependencies, and applications for acquisition, analysis and visualisation built on them. It is collaborative research software: more than forty people have contributed.

ProjectRepositoryDocumentation

Projects

  • 2017–2025

    MRI systems and ScanHub

    Software lead, co-founder

    Acquisition software for magnetic resonance imaging: MR#, a language for pulse sequences; a digital receiver implemented on a graphics card; and ScanHub, an open-source platform for scanner control, acquisition and processing.

    Project

  • Since 2026

    The BCI Briefing

    Publisher

    An independent editorial project that follows research, clinical studies, technology and companies in brain–computer interfaces. Every claim carries its source and the kind of evidence behind it.

    Project

Research software

In industry

Since 2015 my main employment has been in medical technology. The work below belongs to the companies concerned; I describe my role and what is public, and nothing beyond that.

  • Since 2022

    ZEISS

    Head of Physical AI & Computing (since 2026); previously team lead and software architect

    At Carl Zeiss Meditec in Munich I worked on the architecture of platforms for machine learning and research data in regulated medical products. At the ZEISS Innovation Hub @ KIT I built a team for medical robotics and assistance systems, and I coordinate the company’s technology field of brain–computer interfaces. The content of this work is not public.

  • 2021–2022

    Ablacon

    Research lead

    Led a research team of seven working on signal processing and cloud-based analysis for electrographic flow mapping, which estimates the flow of electrical activation in the atria from catheter recordings in patients with atrial fibrillation.

    US 12,220,199 B2

  • 2017–2021

    Neoscan Solutions

    Director of software development

    Built the software team, from one engineer to seven, and the software of a magnetic resonance system for newborns: console, real-time acquisition and reconstruction. The sequence language MR# came out of this work.

    MRI systems

  • 2015–2016

    Stryker

    Software architect

    Software architecture of ADAPT for Gamma3, an X-ray-based navigation system that assists implant placement in hip-fracture surgery. The system was developed under IEC 62304, in close contact with surgeons.