How smarter data management and machine‑learning‑driven design of experiments accelerate formulation development

Monday, June 29 at 16:00 BST | 17:00 CEST | 11:00 EDT | 8:00 PDT

Formulation development is becoming increasingly complex, and traditional spreadsheet‑based approaches often struggle to keep up with multidimensional ingredient interactions and growing sustainability demands. Today’s R&D teams need modern, data‑driven technologies that simplify experimentation and speed up decision‑making.

In this SelectScience^® webinar join Dr. Tom Whiteheads, Head of Machine learning at Intellegens and Jun Liu from Revvity Signals to discover how emerging digital and machine‑learning approaches can cut experimental workload by 50–80% while accelerating insight generation. Dr. Whiteheads and Liu will introduce a new technological pathway for formulation science built around unified digital workflows and Adaptive Experimental Design (AED), a machine learning–driven method for navigating complex formulation spaces.

You will explore how to bring together formulation data management, material libraries, automated data capture, and chemistry‑aware tools such as embedded ChemDraw, while using AED to iteratively optimize formulations and processes. Together, the speakers will highlight how these capabilities help accelerate R&D, turn fragmented data into actionable insights, and support faster, more efficient, and more sustainable formulation development.

Certificate of attendance

If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.

Webinar details

• Cost: Free to attend
• Location: Online
• Duration: 60 minutes per session

Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available