Date: Monday, February 9, 2026

Time: 12pm - 1:15pm

Location: Thomas M. Menino Convention & Exhibition Center, Room 103

“High throughput” used to mean monolithic, closed automation systems: powerful but rigid, designed for fixed workflows and consistent sample volumes. But today’s scientific landscape looks very different. Advances in AI, explosive computational capacity, faster and more economical chemistries, and data-rich community initiatives like biobanks are not only increasing the demand for throughput but also redefining it. These forces are driving the need for a new kind of automation: systems that are not just fast, but flexible, modular, and adaptive, capable of evolving with new methods, new assays, and new scales of discovery.

This talk explores the new throughput: automation that enables labs to scale dynamically, integrate diverse workflows, and accelerate innovation without sacrificing precision or usability. 

We’ll share three use cases from teams pushing the boundaries of scale and adaptability in very different ways:

Madeline Wolf, Instance Bio – leveraging AI-driven, massively parallel DNA synthesis to generate unbounded DNA pools at unprecedented speed, scale, and size.

Arun Timmaraju, Interpace Diagnostics – applying scalable automation to accelerate molecular diagnostics workflows.

Hamza Shail, Pfizer – demonstrating how an automated Oxford Nanopore workflow delivers rapid, scalable plasmid and cell line sequencing, with major gains in speed and efficiency. 

Join us to see how advances in AI, computation, chemistry, and collaboration are converging to define the new throughput, one built not just for speed, but for agility, precision, and discovery.