Using synthetic DNA molecules, enzymes, and cutting-edge software, we are building a cold data storage platform that stores more, costs less, and lasts longer.
Why
We are generating more data than we can store.
Traditional data storage technologies will not be able to keep up with increasing storage demand in a few years. Almost 80% of this data is unstructured data that is rarely accessed and thus kept in "cold" archival storage. To meet this demand, we are storing data in DNA, the ultimate archival storage medium with superior density, durability, and energy consumption.
Pradeep brings a wealth of expertise in organic chemistry, biochemistry, molecular biology, and microfabrication."
George M. Church, PhD
Co-Founder, Professor at Harvard / MIT
George has made foundational contributions to DNA sequencing and is a pioneer in synthetic biology and large-scale genome engineering.
Henry H. Lee, PhD
Co-Founder, Advisor
Henry is a leading expert in systems and synthetic biology. At Harvard Medical School, he developed the first demonstration of enzymatic DNA synthesis for data storage.
Vitor Pinheiro, PhD
Scientific Advisor
After a PhD in Bacterial Pathogenesis at University of Cambridge with Prof. David Ellar, Vitor did seven years of post-doctoral work at the MRC Laboratory of Molecular Biology in Cambridge with Dr. Phil Holliger. Subsequently, he started his independent research career at UCL and Birkbeck in 2013,and moved to KU Leuven in September 2018.
Jonathan Teutenberg, PhD
Software, Algorithms
Jonathan is a Computation Scientist / Data Scientist. He has extensive experience in DNA sequencing and analysis from working at Oxford Nanopore Technologies and Quantum Biosystems.
Nava Whiteford, PhD
Software/Hardware; Advisor
As an expert in DNA sequencing technology, Nava has engaged in the development of numerous novel sequencing platforms. This includes novel algorithmic approaches to the analysis of sequencing-by-synthesis (Illumina and others), protein-nanopores (at Oxford Nanopore), solid-state nanopore (as CTO of Quantum Biosystems), and other (XGenomes) datasets.
At Kern, Nava is able to apply his deep understanding of various methods of how to “read” DNA to the development of Kern's novel enzymatic DNA synthesis approach— helping us scale our DNA “write” platform. Furthermore, he is assisting us with computational aspects of our platform including our encoding/decoding process, protein engineering, and the development of our hardware platform.
