Presentation:
AI-Enhanced Formulation Development in Modern ELN Software
Thursday 13.45 to 14.00, Stage 3
Speaker:
Jun LiuSenior Marketing Manager - Revvity Signals Software
About this presentation
In the specialty chemicals industry, researchers face increasing pressure to develop innovative formulations that meet high-performance standards, improve sustainability, and reduce costs. Achieving these objectives requires a shift from traditional trial-and-error experimentation toward data-driven approaches. Relying solely on manual synthesis and formulation techniques is no longer sufficient; modern digital tools such as Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS) are essential for accelerating research and development. These platforms streamline data management, improve reproducibility, and leverage artificial intelligence (AI) to predict optimal formulations, suggest enhancements, and generate actionable insights from experimental results. Signals One platform addresses this challenge by unifying and structuring research data, making it fully AI-ready. This platform enables seamless integration, analysis, and evaluation of experimental data using advanced machine-learning tools. By optimizing data preparation, companies can unlock the full potential of AI for enhanced formulation discovery, improved search capabilities, automation of repetitive tasks, and more efficient experimentation. In this presentation, attendees will explore how a modern ELN/LIMS software can revolutionize R&D workflows, accelerate formulation development, and enhance collaboration within a unified digital ecosystem.
Speaker Bio:
Jun Liu is a Senior Marketing Manager responsible for Industrial Chemistry segment marketing activities at Revvity Signals Inc. Jun has over 10 years of marketing and business development experience in the Specialty Chemical industry and worked as a software engineer in the semi-conductor industry. He has an MBA degree and an MS in Electrical Engineering from the University of Texas at Austin, also holds a BS in Computer Engineering from Michigan Technology University.