Human Stories in AI
Podcast de Joshua Starmer
Human Stories in AI with StatQuest and Lighting AI is about the career journeys of passionate AI experts. From their humble beginnings to conquered ch...
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8 episodiosIn this episode we have special guest Dr. Amy Finnegan, the Deputy Director of Data Science at IntraHealth International. Amy is a demographer and data scientist with over 10 years of experience working in global health, development, and data science in emerging economies on four continents. Amy is also an adjunct faculty at Duke University’s Global Health Institute, and before these jobs, she was a research scholar at Duke.
In this episode we have special guest Xavier Godoy, the director of customer experience and automation at HBX Group in Mallorca, Spain. Xavier has had a career driven by curiosity and a desire to learn more while simultaneously making sure that customer satisfaction is always is the focus of his efforts.
In this episode we have special guest Tommy Tang, the Director of Computational Biology at Immunitas Therapeutics. Tommy is a computational biologist with over ten years of computational experience and six years' wet lab experience committed to reproducible research and open science. At Immunitas Therapeutics, Tommy employs a single-cell sequencing platform to dissect the biology of immune cells in human tumors by using machine learning approaches and cloud computing. Before all of this, Tommy was a lead scientist at the Dana-Farber Cancer Institute.
In this episode we have special guest Simon Stochhom, a lecturer at UCL in Denmark. Simon applies machine learning, especially deep learning, to images, video and time series in wide variety of settings. And by “wide variety”, I really mean it. Simon is fearless when it comes to seizing opportunities that come up and somehow turns them all into success stories.
In this episode we have special guest Fabio Urbina, an Associate Director at Collaborations Pharmaceuticals. Fabio combines computational tools and machine learning with classical small-molecule, molecular, and cell biology techniques to address previously-difficult to probe scientific problems. Specifically, Fabio finds solutions to drug discovery with machine learning.
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