Dive into Deeptech | MoSS
“We unpack cutting-edge research in DNA Data Storage technology, discuss breakthroughs, and delve into how Molecular Storage Systems (MoSS) are reshaping the future of data.
Throughout this series, we will be talking to experts and innovators in the field to get their insights and perspectives on the potential of using DNA data storage and explore its potential applications in different industries”
In this episode, we are joined by Dr. Raja Appuswamy, an assistant professor at the Data Science department at EURECOM in southern France. He's currently working at the intersection of computer science and biology. In today's episode, we'll be talking about some of the exciting projects being undertaken by Dr. Raja and his team from OneOligo to OligoArchive and MoSS.
In this episode, we are joined by Prof. Zohar Yakhini and Dr. Eitan Yakoobi. They discuss what sparked their interest in this research field, the various applications of DNA as a storage medium, and the future direction of R&D in this area. Tune in to the full episode to learn more about their work and their collaborations with research groups worldwide to bring the next breakthrough to market.
About the DNA Storage Lab: The mission of the DNA Storage Lab is to conduct both theoretical and applied research for the development of DNA-based storage systems. This involves developing and adapting theoretical frameworks from disciplines such as coding theory, information theory, algorithms, discrete mathematics, algebra, machine learning, and more. These theories are implemented and tested using several tools in our lab, including the SOLQC and the DNA-Storalator, as well as through wet experiments involving DNA synthesis and sequencing.
The DNA Data Storage Research at Imperial College London, led by Prof. Thomas Heinis, focuses on all stages of the DNA data storage cycle. Some of their notable projects include OligoArchive and MoSS. Their research encompasses encoding, decoding, and error correction for DNA data storage, optimising synthesis processes for DNA data storage, physical storage of DNA molecules for data storage and sequencing for DNA storage using Machine Learning/AI. methods. If this is an area of interest, reach out to them, they are looking for PhDs and PostDocs to join their team.
