CV

This is a brief summary of my professional background. For more details, please see my LinkedIn profile.

Contact Information

Name Christian Henning
Professional Title Machine Learning Researcher & R&D Lead
Location Zurich, Zurich

Professional Summary

Machine learning researcher and engineer with a PhD from ETH Zurich (continual learning, Bayesian deep learning). At Ethon, took a computer-vision product from prototype to global deployment as product owner, then made the case for a dedicated R&D function, built it, and now lead it — while writing about what it takes to bring ML from research to production. Joining AWS Professional Services as a Machine Learning Delivery Consultant in August 2026.

Experience

  • 2026 -

    Zurich, Switzerland

    Machine Learning Delivery Consultant
    AWS
    Incoming role (starting August 2026) within AWS Professional Services. Helping organizations design, build, and deploy production machine learning systems.
    • Partner with customers to bring ML from prototype to production
    • Bridge research-grade methods and real-world delivery constraints
  • 2025 - 2026

    Zurich, Switzerland

    Lead Research Scientist
    Ethon
    Lead the R&D function and shape the technical direction of Ethon’s visual inspection product — bridging research, a full-stack product rebuild, and cross-product strategy.
    • Oversee the rebuild of Ethon’s visual inspection product from on-premise to a cloud-native architecture, orchestrating across product design, infrastructure, and ML
    • Set the research agenda and drive results into the product — including training-free visual inspection (no per-product model training), now shaping the vision
    • Work to unify Ethon’s product lines and capture cross-product synergies, weighing commercial alongside technical trade-offs
    • Rethink how applications are distributed and kept up to date across edge deployments, easing delivery bottlenecks — with ethon-cli as one concrete outcome
    • Mentor research scientists and engineers, and help grow the team
  • 2025 - 2025

    Zurich, Switzerland

    Senior Research Scientist
    Ethon
    Established Ethon’s R&D function, defining its mission and processes for innovation in visual industrial AI. Enabled collaboration between research and engineering.
    • Designed R&D processes for scientific exploration
    • Built infrastructure for rapid experimentation
    • Aligned research with product strategy
  • 2023 - 2024

    Zurich, Switzerland

    Product Owner
    Ethon
    Led the development of an AI-powered product for industrial anomaly detection, balancing software engineering, algorithmic innovation, and cross-functional leadership.
    • Owned the visual-inspection product now scaled to global deployment at customers including Siemens — featured in the World Economic Forum’s Proof over Promise report (2026)
    • Delivered production-grade reliability, with no unplanned line stoppages reported across nearly three years of live deployment
    • Defined and owned product roadmap in close collaboration with end-users
    • Led a cross-functional team of up to seven across engineering, research, and QA, coordinating delivery across the product
    • Actively contributed to hiring and onboarding across the organization
    • Spoke on the Innovator Stage at the AI+X Summit 2024, a leading Swiss AI conference, on Ethon’s manufacturing AI
  • 2022 - 2023

    Zurich, Switzerland

    Machine Learning Engineer
    Ethon
    Joined as one of the first employees at Ethon, playing a pivotal role in the initial development of its computer vision product stack.
    • Worked across backend, frontend, ML model development, DevOps, and QA
    • Built and deployed early prototypes used in pilot deployments
    • Collaborated closely with customers to shape feature development and UX
  • 2017 - 2022

    Zurich, Switzerland

    Research Assistant (PhD)
    ETH Zurich
    PhD in machine learning and computational neuroscience, working in an interdisciplinary environment.
    • Focus on continual learning and Bayesian neural networks
    • Published at conferences such as NeurIPS, ICLR, ICML.
    • Teaching and infrastructure development
  • 2016 - 2016

    Hanover, Germany

    Volunteer
    Kargah Flüchtlingsbüro
    Supported refugees through asylum and job search processes.
  • 2011 - 2014

    Hanover, Germany

    Student Council Member
    Fachrat Informatik
    Organized orientation events and student activities.

Education

  • 2017 - 2022

    Zurich, Switzerland

    PhD
    ETH Zurich
    Machine Learning / Computational Neuroscience
    • Thesis: 'Knowledge uncertainty and lifelong learning in neural systems'
    • Completed the interdisciplinary ZNZ Neuroscience Center Zurich doctoral program
  • 2014 - 2017

    Hannover, Germany

    MSc
    Leibniz Universität Hannover
    Computer Science
    • Focus on Human-Computer-Interaction, Systems-Engineering and Theoretical Computer Science
  • 2016 - 2016

    West Lafayette, USA

    MSc (Semester Abroad)
    Purdue University
    Computer Science
  • 2011 - 2014

    Hannover, Germany

    BSc
    Leibniz Universität Hannover
    Computer Science
    • Best graduate of the year

Awards

  • 2018
    GFFT Förderpreis 2018 – Best Master's thesis
    GFFT e.V.

    The GFFT society aims to improve the innovation transfer from research to industry in Germany.

  • 2017
    Best Multimodal Paper Award – ICMR 2017
    ACM

    The award was dedicated to my first publication, summarizing the outcome of my Master thesis.

  • 2014
    Studienstiftung des deutschen Volkes
    Scholarship from the German National Academic Foundation.
  • 2014
    Preis des Präsidiums
    Received for outstanding achievements within my faculty.
  • 2012
    Deutschlandstipendium
    Scholarship from the National Scholarship Program.

Skills

Leadership & Strategy (Advanced): R&D Leadership, Team Leadership, Product Ownership, Research-to-Production, Technical Strategy, Mentoring, Customer Collaboration, Hiring & Onboarding
Machine Learning (Expert): Deep Learning, Computer Vision, Continual Learning, Uncertainty Estimation, Bayesian Neural Networks, Out-of-Distribution Detection
Programming (Advanced): Python, C/C++, Julia, Java, Matlab
MLOps & Systems (Advanced): AWS, Buildkite, Docker, DVC, Event-driven Architecture, GitHub Actions, Google Cloud, MQTT, ONNX, PostgreSQL, PyTorch, Schema Governance, SLURM, Terraform/OpenTofu

Languages

German : Native speaker
English : Fluent
French : Beginner
Spanish : Beginner

Interests

Physical Activities: Hiking, Climbing, Bouldering, Skiing, Dancing
Other Interests: Neuroscience & Cognitive Science, Learning new skills