#Genetics #MachineLearning #DataScience In this episode, Dr. Jonathan Flint, Professor of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles, joins us to discuss how he uses data science and machine learning to explore the link between genetics and depression. This episode is brought to you by Monte Carlo, the data observability leaders, and by UC Irvine master of data science program at the University of California. In this episode you will learn: • Johnathan's background [0:53] • How we know that genetics plays a role in complex human behaviors including psychiatric disorders like anxiety, depression, and schizophrenia [5:58] • The role that data science and ML play in modern genetics research [13:03] • About Jonathan book "How Genes Influence Behavior" [17:38] • The day-to-day life of a world-class medical sciences researcher [30:18] • The open-source software libraries that Jonathan uses for data modeling [38:26] • A single question you can ask to prevent a severely depressed person from committing suicide [49:55] • LinkedIn Q&A [52:35] • The future of psychiatric treatments [1:03:24] Additional materials: https://www.superdatascience.com/547