Dive into Deeptech | MoSS
In this podcast we are joined by Prof. Thomas Heinis, who leads the SCALE Lab [http://scale.doc.ic.ac.uk/] & DNA Data Storage Research [https://dnastorage.doc.ic.ac.uk/] 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. ---------------------------------------------------------------- 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/ ---------------------------------------------------------------- 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 ---------------------------------------------------------------- ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.
3 episodes
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