From MATLAB to Python: A Journey in Neural Data Analysis

Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. 

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

• Breakthroughs in brain region communication [04:08]
• The future of brain research and MedTech [35:24]
• The libraries and software used at the Halicioglu Data Science Institute [45:11]
• Brain rhythm as a diagnostic tool [1:02:58]
• Bradley’s curriculum structure at UC San Diego [1:12:21]
• How Uber applies data science [1:20:07]

Additional materials: www.superdatascience.com/829