MINI-CONFERENCE

Rapid Product Development for Formulators : The use of cutting-edge automation and digital technologies to accelerate and de-risk formulated product development.”

Wednesday 12.00 to 13.30, Stage 3

CPI (Centre for Process Innovation)

Mino-conference overview

In this panel session, we will delve into how formulators can leverage cutting-edge automation and robotics to accelerate the development and testing of their products. You will have an opportunity to learn from technology providers and established automation teams with decades of collective experience in this field and learning from their triumphs and mistakes.

We will explore how new digital tools are helping to generate a new era of formulating and discuss AI-driven solutions which are enhancing data generation, curation, and analytics for our industries.

The focus will be on practical, industry-tested solutions, with insights from leading experts on the use of these tools from CPI and Syngenta, as well as insights on the technologies from Labman, manufacturers of custom automation solutions, and Intelligens, software developers of Alchemite which integrates state-of-the-art decision making into Design of Experiments.

Together we will showcase how these innovations are benefiting their businesses and aim to provide a detailed view of the transformative power of automation and digital technologies in formulation development.

Session Chair: Dr. Jenny Readman , Business Development Manager – Centre for Process Innovation (CPI)

Featured speakers:

  • Ben Pellegrini, Chief Executive Officer – Intellegens
  • Joy Plowman, Project Manager – Labman Automation
  • Airit Agasty, Lead Applications Scientist, Personal Care – Croda
  • Jessi Godliman, Team Leader-Data Platform at Domino Printing – Domino Printing
  • Dr. Lynn Donlon, Principal Scientist – High Throughput Formulation – Centre for Process Innovation (CPI)

SESSION CHAIR / Featured Speakers

Dr. Jenny Readman

Dr. Jenny Readman

Business Development Manager - Centre for Process Innovation (CPI)

With a background in Fine Chemicals, Jenny is now a Business Development Manager at CPI working with companies ranging from early-stage Start-ups to major Global organisations – helping them to develop new products and processes in the materials, agri and food sectors. She supports projects requiring a broad range of technologies including fermentation, formulation, traditional wet chemistry, and projects with process engineering challenges.

Ben Pellegrini

Ben Pellegrini

Chief Executive Officer – Intellegens

Ben Pellegrini is CEO and co-founder at Intellegens. Coming from a data and analytics background he has grown a team of scientists, engineers and sales people to commercialise the Alchemite technique first developed at Cambridge University. He is strong advocate for using data, and machine learning, in r+d to help accelerate innovation value, and more importantly deliver value. He is now leading Intellegens’ business strategy, driving product development and establishing commercial partnerships and collaborations.

Joy Plowman

Joy Plowman

Project Manager - Labman Automation

Airit Agasty

Airit Agasty

Lead Applications Scientist, Personal Care - Croda

Jessi Godleman

Jessi Godleman

Team Leader-Data Platform at Domino Printing - Domino Printing

Dr. Lynn Donlon

Dr. Lynn Donlon

Principal Scientist (Automation) - Centre for Process Innovation (CPI)

Lynn leads CPI’s project delivery in automated formulation and has many years of experience in translating customer workflows on to CPI’s automated systems, across various sectors. Working with Labman Automation, she designed and implemented CPI’s flagship Formulation systems, which has supported battery material and slurry development across numerous collaborative projects. Her current focus is on further development of CPI’s automation capability including for the preparation and screening of nanoparticulate drug delivery systems, coating of battery slurries, rheology of formulated products and use of collaborative and mobile robotic platforms.