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:
00:01:25 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
His research works: https://scholar.google.com/citations?user=sVahJxsAAAAJ&hl=en
About the Host:
Jay is a Ph.D. student at Arizona State University.
Homepage: https://www.public.asu.edu/~jgshah1/ for any queries.
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About the author: https://www.public.asu.edu/~jgshah1/