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
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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
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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
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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
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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
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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
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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
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2016 - 2016 Hanover, Germany
Volunteer
Kargah Flüchtlingsbüro
Supported refugees through asylum and job search processes.
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2011 - 2014 Hanover, Germany
Student Council Member
Fachrat Informatik
Organized orientation events and student activities.
Education
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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
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2014 - 2017 Hannover, Germany
MSc
Leibniz Universität Hannover
Computer Science
- Focus on Human-Computer-Interaction, Systems-Engineering and Theoretical Computer Science
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2016 - 2016 West Lafayette, USA
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2011 - 2014 Hannover, Germany
BSc
Leibniz Universität Hannover
Computer Science
- Best graduate of the year
Awards
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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.
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2017 Best Multimodal Paper Award – ICMR 2017
ACM
The award was dedicated to my first publication, summarizing the outcome of my Master thesis.
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2014 Studienstiftung des deutschen Volkes
Scholarship from the German National Academic Foundation.
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2014 Preis des Präsidiums
Received for outstanding achievements within my faculty.
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2012 Deutschlandstipendium
Scholarship from the National Scholarship Program.