What if the biggest bottleneck in modern biology isn't sequencing the genome — but everything that has to happen before the sample reaches the sequencer? In this episode of Catalio Conversations, Martha Petrocheilos sits with Udayan Umapathi, Founder & CEO of Volta Labs, who makes a contrarian case: the cost of sequencing has collapsed, yet the cost of preparing samples has barely moved — and this overlooked, still-manual step has become one of the biggest constraints on the future of genomics and AI-enabled biology.
Udayan's journey — from the MIT Media Lab, where his research on programmable water droplets was rooted in human-computer interaction rather than biology, to founding Volta — showcases what happens when an engineer rethinks a problem from first principles. The result is Callisto, a platform that automates DNA and RNA sample prep using digital fluidics: tiny droplets moved across a flat surface with electric fields, sound waves, and computer vision, each its own miniature reaction chamber. No pipette tips, no robotic arms — just a new physical logic delivering precision, repeatability, higher yield, and lower cost. And Udayan is building an "app store for the lab," one instrument that shifts from one application to the next!
Perfect for healthcare leaders, AI enthusiasts, and anyone curious about the hidden plumbing of modern medicine, this episode reveals the shift redefining how biology gets done — from a manual, inconsistent, expensive process into something automated, precise, and scalable. Because the next breakthrough in AI-driven biology and drug discovery may depend less on a smarter algorithm and more on finally fixing the step everyone forgot.
Timestamped Summary:
00:03 — Introduction to Udayan Umapathi and Volta Labs, which automates genomic sample preparation.
01:11 — Udayan explains how his MIT Media Lab work with programmable water droplets revealed a strong use case in biology
02:19 — He describes turning a research demo into a real-world company
02:50 — Building Volta required integrating engineering, design, biology, hardware, and software over many experiments
03:56 — Clinical adoption demanded reliability strong enough for irreplaceable patient samples
05:38 — Udayan shares an unused but promising discovery involving precisely controlled droplet splitting
06:09 — Callisto manipulates tiny droplets on a flat surface to automate DNA sample preparation
06:46 — Sound waves, magnetic fields, and computer vision help mix, track, and process samples
07:16 — The platform converts raw biological material into molecules that sequencing machines can read
07:49 — Its advantages include repeatability, gentler sample handling, better yield, and lower reagent use
08:57 — Sample-prep costs have remained high because labs need to support many sample types, chemistries, and sequencers
10:06 — Volta reduces reagent costs and can shorten assay setup from many months to a few months or less
11:09 — The company’s broader vision is one adaptable platform that can support many lab applications
12:49 — Labs can switch between workflows without major reconfiguration, gaining more flexibility and avoiding vendor lock-in
13:23 — Adoption becomes easier once labs try the system: customers can be producing usable samples within days
13:56 — Reliable, consistent sample preparation is essential for producing the clean data AI-powered biology depends on
15:39 — Cheaper, scalable sample prep could accelerate diagnostics, drug discovery, and multi-modal sequencing workflows
17:17 — Udayan identifies oncology and rare disease as major early beneficiaries
