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AI/ML & Data Talks Podcast Episode 5

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Manage episode 306823471 series 2999955
Content provided by AI/ML Data Talks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI/ML Data Talks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ooi Wen Fong is a Data Scientist in healthcare and cancer genomics specializing in elucidating complex molecular relationships using large-scale genomics data and clinical information. A total of Nine (9) years in architecting big data solutions to identify biomarkers and novel therapeutic options in cancers with statistical learning using R and Python. In this episode, we discussed on topics related to BioInformatics and being a Data Scientist in the healthcare industry.

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Ooi Wen Fong - LinkedIn

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Leave a voice message

https://anchor.fm/aimldatatalks/message

  continue reading

20 episodes

Artwork
iconShare
 
Manage episode 306823471 series 2999955
Content provided by AI/ML Data Talks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI/ML Data Talks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ooi Wen Fong is a Data Scientist in healthcare and cancer genomics specializing in elucidating complex molecular relationships using large-scale genomics data and clinical information. A total of Nine (9) years in architecting big data solutions to identify biomarkers and novel therapeutic options in cancers with statistical learning using R and Python. In this episode, we discussed on topics related to BioInformatics and being a Data Scientist in the healthcare industry.

Featuring

Ooi Wen Fong - LinkedIn

Notes and Links

Leave a voice message

https://anchor.fm/aimldatatalks/message

  continue reading

20 episodes

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