Role of a Principal Scientist do & AI in medicine | Alberto Santamaria-Pang, Microsoft

Jay Shah Podcast

Alberto Santamaria-Pang is a Principal Applied Data Scientist at Microsoft. He did his Ph.D. in computer science from the University of Houston and has a long experience in research and development on various AI projects including but not limited to medical imaging and deep learning. Prior to Microsoft, he was a principal scientist at GE research. He has led many research projects in industry and also government-funded projects, a few of which we will be discussing today.
Time stamps of conversations:
00:00:37 Introduction
00:01:25 Background before you got into the industry
00:04:17 Interest in AI and Medical Imaging
00:05:54 What does a Principal Scientist do?
00:10:00 What drives research in industry? Product or Theoretical pursuit?
00:11:35 Learning skills relevant to a principal scientist
00:15:14 Principal Investigator vs Principal Scientist
00:21:00 How do industry and academia collaborate on research projects?
00:25:30 Promise & challenges of AI in medical research and applications
00:31:53 What should explainable AI look like?
00:38:35 Adoption of AI in medical research
00:43:00 Is AI generalizable?
00:44:36 AI for biomarker discovery
00:51:42 Are large models useful in AI & Med space
00:58:00 Why is there a lack of datasets?
01:01:02 Do you think AI is scary?
01:04:00 Where do we need innovation in AI precisely?
01:10:20 Getting inspiration from bio-research to improve algorithms
01:13:19 AI and molecular pathology for cancer research
00:20:30 Should one get a Ph.D.?
01:27:38 Advice for young people
About Alberto:
His research works: https://scholar.google.com/citations?user=sVahJxsAAAAJ&hl=en
LinkedIn: https://www.linkedin.com/in/alberto-santamaria
About the Host:
Jay is a Ph.D. student at Arizona State University.
Linkedin: https://www.linkedin.com/in/shahjay22/
Twitter: https://twitter.com/jaygshah22
Homepage: https://www.public.asu.edu/~jgshah1/ for any queries.
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***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

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