Enrico Werner
Summary
Interdisciplinary engineer with a PhD in robotics and postdoctoral experience in biomedical soft robotics and clinical data science. Expertise in systems testing, prototyping, verification, and explainable AI to enhance personalised healthcare. Developed and validated bio-inspired medical devices, including soft robotic implants and peristaltic simulators, while creating explainable machine learning pipelines for ICU patient subtyping and risk prediction. Focused on integrating technical innovation with clinical applications to deliver safe and effective healthcare solutions.
Overview
4
4
years of professional experience
4
4
Certificate
Work History
Engineering Consultant
Moor Fabrications Plastics Ltd
10.2025 - 02.2026
- Directed end-to-end design upgrades for a specialized chemical-resistant ICU hygiene trolley on behalf of a key client for hospital clinical research trials; spearheaded material selection (durable plastics and GRP composites) to ensure resistance to intensive disinfection while complying with strict hygiene requirements; coordinated with one design engineer and fabricators to facilitate scalable production and effective multi-unit field deployment
- Developed mathematical models for wet scrubber systems, applying venting calculations from API Std 2000 to ensure accurate gas flow and pressure handling
- Enhanced organizational security and compliance by updating user access rights and developing AI usage policies, mitigating potential risks in a dynamic SME environment.
Founder, Back-end Engineer and Data Scientist
Bizumi Ltd
05.2024 - 02.2026
- Assisted in co-founding and leading technical development for a travel platform.
- Supported system architecture and scalability efforts to handle live data integration.
- Participated in investor and stakeholder meetings, aiding in communication of technical aspects.
- Mentored interns from data science, AI, ML, and cybersecurity disciplines in a startup environment.
- Collaborated with external stakeholders to align technical development with business needs.
Research Associate in Embedded Machine Learning for Medical Devices
University of Bristol
06.2023 - 09.2024
- Designed verification test protocols for soft robotic intra-tracheal implants.
- Executed cyclic fatigue sealing pressure tests.
- Developed predictive modelling of failure modes using AI.
- Design and build custom experimental rigs for performance testing.
- Developed data acquisition systems for reliability assessments.
- Contributed to preclinical large-animal (sheep) implantation studies in compliance with regulations.
Senior Research Associate in Clinical Data Science for Intensive Care
University of Bristol
09.2021 - 06.2023
- Directed interdisciplinary team of 4 clinicians and data scientists to construct and validate explainable machine learning pipelines on extensive ICU datasets.
- Oversaw patient-specific risk prediction initiatives, ensuring interpretable results were aligned with clinical decision support needs.
- Managed deidentification processes for patient data to maintain compliance with privacy standards.
- Supervised and mentored 2 MSc students on final year projects at University of Bristol, England, enhancing their research skills and project outcomes.
Education
PhD - Robotics and Autonomous Systems
FARSCOPE Centre of Doctorial Training, Bristol Robotics Laboratory
Bristol, England09.2022
Master of Science - Bionics/Biomimetics
Rhine-Waal University of Applied Sciences
Kleve, Germany08.2016
Bachelor of Science - Computer Science
Bonn-Rhine-Sieg University of Applied Sciences
Sankt Augustin, Germany02.2014
Skills
- Medical device standards awareness: 21 CFR Part 820, ISO 13485:2016
- CAD and 3D modeling: SolidWorks, Autodesk Inventor, Autodesk Fusion 360, Agisoft Metashape
- Engineering simulation: FEM, CFD using COMSOL
- Programming and scripting: Python, C#/NET (familiar), C (Arduino-focused)
- Data science and analysis: Python (Pandas, NumPy, Matplotlib, Plotly), MATLAB
- Machine learning: Scikit-learn, PyTorch, Facebook Prophet
- Databases and backend: MySQL, PostgreSQL, Supabase
- No-code/low-code development: FlutterFlow
Certification
- A Guide to Healthcare Innovation: Principles and Practice, 2026-01-01
- AI Responsibility: Ethics, Compliance, and Risk Management, 2025-06-01
- AI and Data: Building a Strong Foundation, 2025-05-01
- International Standard for Information Security Management (ISO/IEC 27001:2022), 2024-08-01
Languages
German
Native language
English
Advanced
C1
Timeline
Engineering Consultant
Moor Fabrications Plastics Ltd
10.2025 - 02.2026
Founder, Back-end Engineer and Data Scientist
Bizumi Ltd
05.2024 - 02.2026
Research Associate in Embedded Machine Learning for Medical Devices
University of Bristol
06.2023 - 09.2024
Senior Research Associate in Clinical Data Science for Intensive Care
University of Bristol
09.2021 - 06.2023
PhD - Robotics and Autonomous Systems
FARSCOPE Centre of Doctorial Training, Bristol Robotics Laboratory
Master of Science - Bionics/Biomimetics
Rhine-Waal University of Applied Sciences
Bachelor of Science - Computer Science
Bonn-Rhine-Sieg University of Applied Sciences
Awards
- Harnessing Environmental Measurements for Improved Patient Health Forecasting, 2024989, 2023-05-01, Pump priming (internal funding) from the University of Bristol.
- The 37th AAAI Conference on Artificial Intelligence – Hackathon, Washington DC, USA, 2023-02-01, 3rd Place at the Biological Age Prediction Hackathon.
- Travelling Fellowship Grant, JEBTF1905226, 2019-07-01, From The Company of Biologists Limited.
- Research without Borders festival, University of Bristol, Bristol, England, 2018-05-01, Popular Vote for Best Exhibit.
- Natural Systems and Processes Poster Session, University of Bristol, Bristol, England, 2018-04-01, Best 1st-year poster.
Publications
- T. Barnes et al., 2024, Towards personalised patient risk prediction using temporal hospital data trajectories, AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health
- E. Werner et al., 2024, SoftTract: A novel peristaltic design for improving control and performance of GI tract simulants, IEEE RoboSoft
- J.N. Clark et al., 2024, TraCE : Trajectory Counterfactual Explanation Scores, Northern Lights Deep Learning Conference
- E. Werner et al., 2023, Explainable hierarchical clustering for patient subtyping and risk prediction, Exp Biol Med
- E. Werner et al., 2023, Identification, explanation and clinical evaluation of hospital patient subtypes, AAAI 2023
- H.Y. Chen et al., 2018, RUBIC : An Untethered Soft Robot with Discrete Path Following, Front Robot Al
Hobbies and interests
- Bachata
- Hiking
- Gym
- First-Aid
- Reading
Websites, Portfolios and Profiles
linkedin.com/in/EnricoWernerDS