Using AI to detect online abuse, from physics PhD to staff ML engineer@Linkedin, persuasion at work with James Verbus - the data scientist show #035

James Verbus is Staff Machine Learning Engineer at LinkedIn. He has a PhD in Physics from Brown university. He is the tech lead of the Anti-Scraping and Automation AI Team, working on protecting LinkedIn's Members from bots and abusive scripted behavior, pioneering the use of deep learning to detect abusive automated sequences of user activity (blog post). If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science. Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu (00:01:14) from physic to data science  (00:16:37) background of online abuse detection  (00:24:40) Isolation Forest Algorithm (00:42:59) his day-to-day as a staff ML Engineer  (00:52:57) how to persuade stakeholders  (00:58:17) how to build influence at work  (01:00:22) how he grew to staff engineer  (01:13:48) what he learned from his mentor