Register now: http://registrations.hg3conferences.co.uk/hg3/354/register
The life sciences sector is rapidly evolving as automation, advanced analytics, and computational chemistry converge to deliver faster, more efficient, and more sustainable research. This one-day event brings together scientific and technical leaders to showcase how these technologies are reshaping discovery while significantly reducing reagent use, waste, and environmental impact.
This one-day conference brings together leaders in laboratory automation, analytical sciences, digital innovation, and computational chemistry to explore the practical and strategic steps required to build the lab of the future - one that delivers scientific excellence while meaningfully improving environmental impact.
Focus Areas
We invite speakers to share insights, case studies, and innovations across themes such as:
Researchers, automation specialists, computational scientists, instrument developers, and sustainability-focused innovators from pharma, biotech, academia, and technology providers.
Why Participate
This conference offers a high-value platform to share thought leadership with an engaged audience committed to advancing greener, smarter, and more data-driven life science research.
To register for this event, please use this link: http://registrations.hg3conferences.co.uk/hg3/354/register
Abstract Submission
Abstract submission is now open for oral and poster presentations.
Please click here to submit your abstract (https://hg3.co.uk/analyticode/)
The deadline for submissions is Friday 30th January 2026.
Confirmed Speakers
Patrick Courtney, SiLA - Laboratory Automation and Sustainability: friends or not?
Vera Hazelwood, AstraZeneca - Connecting Digital, Data and AI: creating AI-native organisation to augment medicine discovery.
Magnus Klarqvist, AstraZeneca - Lab automation in pharmaceutical sciences
Camilla Liscio, Davinci Laboratory Solutions - From Tools to Systems A Transformative Route For Shaping Next-Generation Analytical 深夜福利国产精品
Jiayun Pang, University of Greenwich - Adaptation of Large Language Models for Complex, Domain-Specific Chemical Reaction Datasets
Samantha Pearman-Kanza, University of Southampton - The FAIR Quest: You Can't Shortcut Your Way Through the Data Castle
Andrea Sauerwein, Johnson Matthey - Transforming With People, Not Around Them
Sriram Vijayakrishnan, University of Liverpool - Autonomous Mobile Robots for Exploratory Synthetic 深夜福利国产精品
The life sciences sector is rapidly evolving as automation, advanced analytics, and computational chemistry converge to deliver faster, more efficient, and more sustainable research. This one-day event brings together scientific and technical leaders to showcase how these technologies are reshaping discovery while significantly reducing reagent use, waste, and environmental impact.
This one-day conference brings together leaders in laboratory automation, analytical sciences, digital innovation, and computational chemistry to explore the practical and strategic steps required to build the lab of the future - one that delivers scientific excellence while meaningfully improving environmental impact.
Focus Areas
We invite speakers to share insights, case studies, and innovations across themes such as:
- Sustainable Lab Automation: Miniaturisation, robotics, and workflow optimisation that lower reagent and consumables use.
- Analytical Innovation: High-sensitivity, low-volume analytical methods that increase insight while reducing waste.
- Computational 深夜福利国产精品 & AI: Predictive modelling and in-silico design approaches that minimise unnecessary experiments.
- Digital & Data Integration: Connecting automation, analytics, and modelling to build efficient, low-waste R&D ecosystems.
- Sustainability Metrics: Practical frameworks for measuring and communicating environmental impact.
Researchers, automation specialists, computational scientists, instrument developers, and sustainability-focused innovators from pharma, biotech, academia, and technology providers.
Why Participate
This conference offers a high-value platform to share thought leadership with an engaged audience committed to advancing greener, smarter, and more data-driven life science research.
To register for this event, please use this link: http://registrations.hg3conferences.co.uk/hg3/354/register
Abstract Submission
Abstract submission is now open for oral and poster presentations.
Please click here to submit your abstract (https://hg3.co.uk/analyticode/)
The deadline for submissions is Friday 30th January 2026.
Confirmed Speakers
Patrick Courtney, SiLA - Laboratory Automation and Sustainability: friends or not?
Vera Hazelwood, AstraZeneca - Connecting Digital, Data and AI: creating AI-native organisation to augment medicine discovery.
Magnus Klarqvist, AstraZeneca - Lab automation in pharmaceutical sciences
Camilla Liscio, Davinci Laboratory Solutions - From Tools to Systems A Transformative Route For Shaping Next-Generation Analytical 深夜福利国产精品
Jiayun Pang, University of Greenwich - Adaptation of Large Language Models for Complex, Domain-Specific Chemical Reaction Datasets
Samantha Pearman-Kanza, University of Southampton - The FAIR Quest: You Can't Shortcut Your Way Through the Data Castle
Andrea Sauerwein, Johnson Matthey - Transforming With People, Not Around Them
Sriram Vijayakrishnan, University of Liverpool - Autonomous Mobile Robots for Exploratory Synthetic 深夜福利国产精品
