No More Boxes on Slides.
Examples of Workflow Orchestration and Their Impact from R&D to Production on Demand
Webinar Overview
This webinar is co-hosted by SciY (a Bruker company) and Novalix, who have jointly developed and will deliver the content of the session.
“Confused” (or perhaps overwhelmed) when hearing semantics, ontologies, schema, knowledge graphs and digital twins? This webinar is different. As experimental scientists, Julien Marin (Novalix) and Anna Codina (SciY) will focus on how automation and AI-powered experimentation are applied in day-to-day experimental settings, from discovery to manufacturing.
Through concrete examples, we will show how labs are moving beyond isolated automation toward connected, end‑to‑end workflows: integrating data directly from instruments, enriching it with scientific context, applying automated analysis, and using AI to guide the next experimental step.
We will walk through practical scenarios such as reaction screening, structure verification, and closed loop experimentation, as well as their extension into AI piloted self-contained distributed manufacturing. The emphasis is not on theory, but on what works in practice: what has been built, what has been tested, and what delivers value today.
Attendees will come away with a clear understanding of how to move from fragmented tools and manual workflows to connected experimentation systems where data, automation, and AI are combined to accelerate decisions.
Thursday, July 16th, 2026, 11:00 AM EDT | 05:00 PM CEST
Learning Points
- What real workflow automation looks like beyond concept diagrams
- How to connect instruments, data, and systems into end-to-end experimental workflows
- How experimental data is captured, structured, and reused to enable automation and AI
- How closed loop experimentation works in practice
- How AI can move from post data analysis to actively guiding experiments and processes
- How these approaches extend from R&D into process optimisation and continuous manufacturing
Who should attend
This webinar is ideal for professionals who want to move from concepts to real implementation:
- Scientists and lab leads working with automation or high throughput experimentation
- R&D and digital lab leaders looking to turn strategy into execution
- Automation, robotics, and workflow engineering teams
- Data, informatics, and AI teams supporting experimental workflows
- Process development, PAT, and manufacturing innovation teams
- CRO/CDMO leaders interested in scalable, connected experimental platforms
Speakers
Julien Marin, PhD
Chief Operating Officer, Novalix
Julien Marin is Senior Vice President and Chief Operating Officer at Novalix. He joined the company in 2006, and, over two decades, has held progressive leadership roles, including Head of Synthetic Chemistry, Business Unit Director for Chemistry, and Director of Research Services.
Throughout the first part of his career, Julien oversaw collaborations in research services, primarily in drug discovery, within the pharmaceutical sector, but also in agrochemicals, cosmetics, and fine chemicals. He has led multidisciplinary R&D teams in Belgium, France, and Spain, deployed new services, and played a key role in talent development. Currently, Julien is contributing to developing the Novalix strategic roadmap and ensuring its deployment and implementation across the company.
Julien holds a PhD in Chemistry from Strasbourg University and a Master’s degree in Strategic Business Unit Management from HEC Paris. He completed postdoctoral training with S. Hanessian at the University of Montreal, where he worked on various projects in asymmetric synthesis and medicinal chemistry, including a drug discovery program with a pharmaceutical company.
Anna Codina, Ph.D.
Senior Director Strategy and Business Development, SciYAnna Codina is Senior Director of Strategy and Business Development at SciY, where she focuses on enabling data-driven orchestration across the pharmaceutical value chain. With a background in experimental science, analytical development, and digital innovation, she works at the intersection of data, automation, and AI to accelerate scientific workflows and decision-making.
Anna holds a Ph.D. in protein NMR from the University of Barcelona and completed postdoctoral research at the MRC Laboratory of Molecular Biology in Cambridge. She spent seven years in Analytical R&D at Pfizer, specializing in reaction monitoring, impurity characterization, and regulatory submissions, and was recognized with a Pfizer Worldwide Achievement Award for implementing NMR-based reaction monitoring in an open-access environment.
Since joining Bruker, Anna has held multiple leadership roles across applications, product management, and biopharma business development and market management. In her current role at SciY, she drives strategy for vendor-agnostic data platforms and digital solutions that connect instruments, robotics, and enterprise systems enabling orchestration, AI-powered experimentation and scalable workflows across R&D, CROs/CDMOs, and manufacturing.