Liquid Handling Essentials for Genomic Workflows (Interactive Course)

February 7-11, 2026

Thomas Michael Menino Convention & Exhibition Center (MCEC)

Boston, MA, USA

Liquid Handling Essentials for Genomic Workflows (Interactive Course)

This Genomics-focused half-day course is designed to explore key concepts impacting liquid handling performance within various workflows. Participants will review the fundamentals of liquid handling and examine how these apply to genomics, exploring case studies from manual pipetting to automated systems. The curriculum balances engaging discussions with practical opportunities to apply these concepts directly to live systems.

This course covers similar material to Liquid Handling Essentials but contains a focus on genomic workflows in the exercises and content. It is recommended to take one of the two classes, not both.

Who Should Attend?

This training is tailored for Genomics professionals, but it is also relevant for anyone seeking to understand method transfer principles or troubleshoot pipetting performance challenges.

Ideal attendees include:

Clinical/research scientists, core laboratory technicians, and engineers working with automated liquid handlers
Laboratory managers and supervisors

Course Benefits

Comprehend the key behavioral characteristics of liquid handling and their impact on genomic applications
Identify common factors influencing method transfer
Recognize quality aspects of liquid handling, emphasizing accuracy and precision in liquid volume delivery
Understand how liquid handling parameters affect pipetting performance
Build confidence in robotic performance and reliability of assay results
Become more adept in using liquid handlers and resolving related issues

Course Topics

Liquid Handling Overview: Review foundational concepts and variables affecting liquid delivery
Examining Liquid Classes: Analyze how differences in liquid properties can influence volume measurements
Aspirating, Dispensing, and Mixing Strategies: Investigate essential steps in liquid transfer and the impact of various parameters on results
Low-Volume Liquid Handling: Identify liquid handler settings that are critical to maintaining both accuracy and precision in handling small volumes, magnetic beads, and viscous master mixes
Case Study Analysis: Review examples of genomic applications from real-life scenarios

Instructors

Eric Sindelar
Hamilton

Eric is the Director of Applications at Hamilton and throughout his 20-year career at Hamilton Company, he has been instrumental in the adoption and implementation of liquid handling automation technologies. In his current role as Director of Applications, he oversees applications efforts in North America with a team of over 80 field specialists, automation engineers, and trainers. His focus remains the cultivation and sharing of expertise to empower professionals in the lab automation industry and ensure their success with Hamilton solutions.

Lisa Knapp
Agilent Technologies

As Manager of the Field Applications Scientist Team for Genomics Automation at Agilent Technologies, Lisa works directly with laboratories to implement and troubleshoot complex genomic automation protocols that are critical to research and clinical applications.

Dana Campbell
Artel Portfolio – Advanced Instruments

Dana Campbell is a dedicated field applications scientist providing support to scientists and his sales and marketing teams. His vast experience working with automated liquid handlers helps guide laboratories solve complex liquid handling and process issues that are often critical to productivity, compliance, and data quality.

Candie Gilman
Artel Portfolio – Advanced Instruments

With over 25 years of experience in technical product training and documentation, Candie Gilman is the Education & Training manager at Advanced Instruments. She leads the training teams’ effort for Advanced Instrument’s certificate programs, which includes delivery of our training classes, training content and media management.

Keith Albert
Artel Portfolio – Advanced Instruments

Keith J. Albert, PhD, is a Senior Applications Scientist and Field Supervisor at Advanced Instruments. He is responsible for coordinating field services for the Artel portfolio as well as assisting laboratories with their volume transfer performance goals. He also applies his expertise and scientific knowledge – in pre- and post-sales support – to help laboratories optimize their liquid delivery processes to maintain compliance.

Curtis Walton
Institute for Protein Innovation (IPI)

Curtis Walton, PhD is the Director of Automation and Process Optimization at the Institute for Protein Innovation (IPI). He brings deep expertise in laboratory automation, bioinformatics, and protein engineering, with a strong track record of building scalable workflows that accelerate scientific discovery. Walton holds a PhD in Chemistry from the University of Ottawa, where he developed novel biocatalysts for pharmaceutical applications. At IPI and in previous roles, he has led multidisciplinary teams and spearheaded the integration of cutting-edge automation platforms, transforming research pipelines through innovative, and data-driven approaches.