Benjamin Espen
Director - Engineering , Data Science & Cell Therapy N/A, Personal
Benjamin Espen is an independent expert in quality engineering and data science with over 20 years of experience in the medical device and biotechnology industries, Benjamin has worked extensively across process development, risk management, and statistical and data-driven quality systems. Earlier in his career, he played a key role in the design and development of an endovascular implant for the treatment of abdominal aortic aneurysms. Benjamin holds a B.S. in Physics from Northern Arizona University and is an active contributor to industry conferences and technical guidance initiatives.
Seminars
Thursday 16th July 2026
Implementing Artificial Intelligence to Optimize Process Development Workflows & Predict Manufacturing Outcomes
10:30 am
- Accelerating process development by examining machine learning case studies demonstrating practical tools, data requirements, and measurable workflow improvements
- Improving manufacturing predictability by leveraging machine learning to predict donor variability impacts and identify patient-specific factors affecting product quality
- Strengthening predictive process control by integrating real-time monitoring and AI analytics into existing GMP systems with traceable data collection
