Steven Paul Sanderson is a Manager of Applications at Stony Brook Medicine & Senior Data Scientist at Manchu Technology Corp. Steven has a track record in 12 different companies across several industries.

Steven aims to construct a useful analysis of current public health issues in a proactive fashion, with a focus on predictive analytics for the healthcare industry. He is also the author of several R packages, including healthyverse.

We were profoundly conversing on Data Science, ML & Predictive Analytics in Healthcare, beneficial & excessive technologies and their distribution, Big Tech companies, data privacy & beyond.

Brilliant episode!

Tune in! 🎧



⭕ Outline:
 
(0:00) | Introduction
(3:39) | From relaunch of a grill bar to data science
(10:25) | What makes you get up every day in the morning?
(12:55) | How ML & Big Data disrupt healthcare industry?
(22:48) | Noisy data & unnecessary overcomplication. Do's & Don'ts
(27:12) | How to ensure fairness of an ML model in healthcare?
(31:42) | Regulatory landscape. Europe vs. US
(39:16) | AI and Human Intelligence. Where we are heading? 
(46:10) | How to define the threshold between beneficial and excessive technology usage?
(51:25) | Potential consequences of becoming overly dependent on AI/Tech?
(57:00) | Blitz



⭕ Steven Paul Sanderson:

LinkedIn: https://www.linkedin.com/in/spsanderson
Healthyverse: https://github.com/spsanderson/healthyverse



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