In this podcast, we are joined by Prof. Zohar Yakhini and Prof. Eitan Yaakobi. 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 learn more about their work and their collaborations with research groups worldwide to bring the next breakthrough to market.

About Prof. Zohar Yakhini’s Lab: The Yakhini research group is based at the School of Computer Science in the Interdisciplinary Center in Herzliya and in the Faculty of Computer Science at the Technion in Haifa. It is an active bioinformatics and data science research group with scientists affiliated with both institutes. Their research spans several domains of interest, including Data science, machine learning, statistics and algorithmics with applications in molecular biology and medical science; computational aspects of synthetic biology and genome editing, including design and data analysis to enable the efficient and effective use of synthetic DNA.

About Prof. Eitan Yaakobi’s 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.

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Partner: Republic of Work | https://www.republicofwork.com

Presenter: Eshna Gogia | https://www.linkedin.com/in/gogiaeshna/

Editor: Dr Uday Gowda | https://www.linkedin.com/in/udaybmg/

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Website: https://www.helix.works/blog/dive-into-deeptech-moss

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In this podcast, we are joined by Dr. Raja Appuswamy, assistant professor at the Data Science department at EURECOM in southern France. He's currently working at the intersection of computer science and biology. We talk about some of the exciting projects being undertaken by Dr. Raja and his team; from OneOligo to OligoArchive and MoSS. Dr. Raja’s research interests include Hardware acceleration for data-intensive domains, Molecular information storage, Cold data management and Heterogeneous, parallel database engines.

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Partner: Republic of Work | https://www.republicofwork.com

Presenter: Eshna Gogia | https://www.linkedin.com/in/gogiaeshna/

Editor: Dr Uday Gowda | https://www.linkedin.com/in/udaybmg/

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Website: https://www.helix.works/blog/dive-into-deeptech-moss

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Also available on Apple, Spotify & Amazon Music

- https://podcasts.apple.com/us/podcast/dive-into-deeptech-moss/id1761633154

- https://open.spotify.com/show/6YQbHSt4RcLRa1CwQfmgMe

- https://music.amazon.com/podcasts/351652af-0586-4b49-b971-1c6a98cbbb76/dive-into-deeptech-moss

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In this podcast we are joined by Prof. Thomas Heinis, who leads the SCALE Lab & DNA Data Storage Research at Imperial College London. 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.

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Partner: Republic of Work | https://www.republicofwork.com

Presenter: Eshna Gogia | https://www.linkedin.com/in/gogiaeshna/

Editor: Dr Uday Gowda | https://www.linkedin.com/in/udaybmg/

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Website: https://www.helix.works/blog/dive-into-deeptech-moss

----------------------------------------------------------------

Also available on Apple, Spotify & Amazon Music

- https://podcasts.apple.com/us/podcast/dive-into-deeptech-moss/id1761633154

- https://open.spotify.com/show/6YQbHSt4RcLRa1CwQfmgMe

- https://music.amazon.com/podcasts/351652af-0586-4b49-b971-1c6a98cbbb76/dive-into-deeptech-moss

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Hosted on Acast. See acast.com/privacy for more information.